1
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Ghavi Hossein-Zadeh N. An overview of recent technological developments in bovine genomics. Vet Anim Sci 2024; 25:100382. [PMID: 39166173 PMCID: PMC11334705 DOI: 10.1016/j.vas.2024.100382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/22/2024] Open
Abstract
Cattle are regarded as highly valuable animals because of their milk, beef, dung, fur, and ability to draft. The scientific community has tried a number of strategies to improve the genetic makeup of bovine germplasm. To ensure higher returns for the dairy and beef industries, researchers face their greatest challenge in improving commercially important traits. One of the biggest developments in the last few decades in the creation of instruments for cattle genetic improvement is the discovery of the genome. Breeding livestock is being revolutionized by genomic selection made possible by the availability of medium- and high-density single nucleotide polymorphism (SNP) arrays coupled with sophisticated statistical techniques. It is becoming easier to access high-dimensional genomic data in cattle. Continuously declining genotyping costs and an increase in services that use genomic data to increase return on investment have both made a significant contribution to this. The field of genomics has come a long way thanks to groundbreaking discoveries such as radiation-hybrid mapping, in situ hybridization, synteny analysis, somatic cell genetics, cytogenetic maps, molecular markers, association studies for quantitative trait loci, high-throughput SNP genotyping, whole-genome shotgun sequencing to whole-genome mapping, and genome editing. These advancements have had a significant positive impact on the field of cattle genomics. This manuscript aimed to review recent advances in genomic technologies for cattle breeding and future prospects in this field.
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Affiliation(s)
- Navid Ghavi Hossein-Zadeh
- Department of Animal Science, Faculty of Agricultural Sciences, University of Guilan, Rasht, 41635-1314, Iran
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2
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Chi Y, Mukiibi R, Zhang H, Zhang H, Li W, Robledo D, Chen S, Li Y. Transcriptome Analysis Reveals the Immunosuppression in Tiger Pufferfish ( Takifugu rubripes) under Cryptocaryon irritans Infection. Animals (Basel) 2024; 14:2058. [PMID: 39061520 PMCID: PMC11273842 DOI: 10.3390/ani14142058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 07/10/2024] [Accepted: 07/11/2024] [Indexed: 07/28/2024] Open
Abstract
The tiger pufferfish (Takifugu rubripes), also known as fugu, has recently suffered from severe C. irritans infections under aquaculture environment, yet the underlying immune mechanisms against the parasite remain poorly understood. In this study, we conducted a comprehensive transcriptome analysis of the gill tissue from infected and uninfected fish using PacBio long-read (one pooled sample each for seriously infected and healthy individuals, respectively) and Illumina short-read (three pools for mildly infected, seriously infected, and healthy individuals, respectively) RNA sequencing technologies. After aligning sequence data to fugu's reference genome, 47,307 and 34,413 known full-length transcripts were identified and profiled in healthy and infected fish, respectively. Similarly, we identified and profiled 1126 and 803 novel genes that were obtained from healthy and infected fish, respectively. Interestingly, we found a decrease in the number of alternative splicing (AS) events and long non-coding RNAs (lncRNAs) after infection with C. irritans, suggesting that they may be involved in the regulation of the immune response in fugu. There were 687 and 1535 differentially expressed genes (DEGs) in moderately and heavily infected fish, respectively, compared to uninfected fish. Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses showed that immune-related DEGs in the two comparison groups were mainly enriched in cytokine-cytokine receptor interactions, ECM-receptor interactions, T-cell receptor signaling pathways, Th1 and Th2 cell differentiation, and Th17 cell differentiation pathways. Further analysis revealed that a large number of immune-related genes were downregulated in infected fish relative to uninfected ones, such as CCR7, IL7R, TNFRSF21, CD4, COL2A1, FOXP3B, and ITGA8. Our study suggests that C. irritans is potentially a highly efficient parasite that may disrupt the defense mechanisms of fugu against it. In addition, in combination of short-read RNA sequencing and previous genome-wide association analyses, we identified five key genes (NDUFB6, PRELID1, SMOX, SLC25A4, and DENND1B) that might be closely associated with C. irritans resistance. This study not only provides valuable resources of novel genic transcripts for further research, but also provides new insights into the immune mechanisms underlying C. irritans infection response in farmed fugu.
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Affiliation(s)
- Yong Chi
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China;
| | - Robert Mukiibi
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh EH25 9RG, UK; (R.M.); (D.R.)
| | - Hongxiang Zhang
- Tangshan Haidu Seafood Co., Ltd., Tangshan 063506, China; (H.Z.); (H.Z.); (W.L.)
- Fishery Research Institute, Tangshan Academy of Agricultural Sciences, Tangshan 063001, China
| | - Haien Zhang
- Tangshan Haidu Seafood Co., Ltd., Tangshan 063506, China; (H.Z.); (H.Z.); (W.L.)
| | - Weidong Li
- Tangshan Haidu Seafood Co., Ltd., Tangshan 063506, China; (H.Z.); (H.Z.); (W.L.)
| | - Diego Robledo
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh EH25 9RG, UK; (R.M.); (D.R.)
- Department of Genetics, Universidade de Santiago de Compostela, 15706 Santiago de Compostela, Spain
| | - Songlin Chen
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China;
| | - Yangzhen Li
- State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China;
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh EH25 9RG, UK; (R.M.); (D.R.)
- Tangshan Haidu Seafood Co., Ltd., Tangshan 063506, China; (H.Z.); (H.Z.); (W.L.)
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3
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Jackson DJ, Cerveau N, Posnien N. De novo assembly of transcriptomes and differential gene expression analysis using short-read data from emerging model organisms - a brief guide. Front Zool 2024; 21:17. [PMID: 38902827 PMCID: PMC11188175 DOI: 10.1186/s12983-024-00538-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 06/12/2024] [Indexed: 06/22/2024] Open
Abstract
Many questions in biology benefit greatly from the use of a variety of model systems. High-throughput sequencing methods have been a triumph in the democratization of diverse model systems. They allow for the economical sequencing of an entire genome or transcriptome of interest, and with technical variations can even provide insight into genome organization and the expression and regulation of genes. The analysis and biological interpretation of such large datasets can present significant challenges that depend on the 'scientific status' of the model system. While high-quality genome and transcriptome references are readily available for well-established model systems, the establishment of such references for an emerging model system often requires extensive resources such as finances, expertise and computation capabilities. The de novo assembly of a transcriptome represents an excellent entry point for genetic and molecular studies in emerging model systems as it can efficiently assess gene content while also serving as a reference for differential gene expression studies. However, the process of de novo transcriptome assembly is non-trivial, and as a rule must be empirically optimized for every dataset. For the researcher working with an emerging model system, and with little to no experience with assembling and quantifying short-read data from the Illumina platform, these processes can be daunting. In this guide we outline the major challenges faced when establishing a reference transcriptome de novo and we provide advice on how to approach such an endeavor. We describe the major experimental and bioinformatic steps, provide some broad recommendations and cautions for the newcomer to de novo transcriptome assembly and differential gene expression analyses. Moreover, we provide an initial selection of tools that can assist in the journey from raw short-read data to assembled transcriptome and lists of differentially expressed genes.
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Affiliation(s)
- Daniel J Jackson
- University of Göttingen, Department of Geobiology, Goldschmidtstr.3, Göttingen, 37077, Germany.
| | - Nicolas Cerveau
- University of Göttingen, Department of Geobiology, Goldschmidtstr.3, Göttingen, 37077, Germany
| | - Nico Posnien
- University of Göttingen, Department of Developmental Biology, GZMB, Justus-Von-Liebig-Weg 11, Göttingen, 37077, Germany.
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Grigorev K, Nelson TM, Overbey EG, Houerbi N, Kim J, Najjar D, Damle N, Afshin EE, Ryon KA, Thierry-Mieg J, Thierry-Mieg D, Melnick AM, Mateus J, Mason CE. Direct RNA sequencing of astronaut blood reveals spaceflight-associated m6A increases and hematopoietic transcriptional responses. Nat Commun 2024; 15:4950. [PMID: 38862496 PMCID: PMC11166648 DOI: 10.1038/s41467-024-48929-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 05/17/2024] [Indexed: 06/13/2024] Open
Abstract
The advent of civilian spaceflight challenges scientists to precisely describe the effects of spaceflight on human physiology, particularly at the molecular and cellular level. Newer, nanopore-based sequencing technologies can quantitatively map changes in chemical structure and expression at single molecule resolution across entire isoforms. We perform long-read, direct RNA nanopore sequencing, as well as Ultima high-coverage RNA-sequencing, of whole blood sampled longitudinally from four SpaceX Inspiration4 astronauts at seven timepoints, spanning pre-flight, day of return, and post-flight recovery. We report key genetic pathways, including changes in erythrocyte regulation, stress induction, and immune changes affected by spaceflight. We also present the first m6A methylation profiles for a human space mission, suggesting a significant spike in m6A levels immediately post-flight. These data and results represent the first longitudinal long-read RNA profiles and RNA modification maps for each gene for astronauts, improving our understanding of the human transcriptome's dynamic response to spaceflight.
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Affiliation(s)
- Kirill Grigorev
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Theodore M Nelson
- Department of Microbiology and Immunology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Eliah G Overbey
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Center for STEM, University of Austin, Austin, TX, USA
- BioAstra, Inc, New York, NY, USA
| | - Nadia Houerbi
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - JangKeun Kim
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Deena Najjar
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Namita Damle
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Evan E Afshin
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Krista A Ryon
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Jean Thierry-Mieg
- National Center for Biotechnology Information (NCBI), National Library of Medicine, NIH, Bethesda, MD, 20894, USA
| | - Danielle Thierry-Mieg
- National Center for Biotechnology Information (NCBI), National Library of Medicine, NIH, Bethesda, MD, 20894, USA
| | - Ari M Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Jaime Mateus
- Space Exploration Technologies Corporation (SpaceX), Hawthorne, CA, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
- WorldQuant Initiative for Quantitative Prediction, New York, NY, USA.
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5
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Kumari P, Kaur M, Dindhoria K, Ashford B, Amarasinghe SL, Thind AS. Advances in long-read single-cell transcriptomics. Hum Genet 2024:10.1007/s00439-024-02678-x. [PMID: 38787419 DOI: 10.1007/s00439-024-02678-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 05/07/2024] [Indexed: 05/25/2024]
Abstract
Long-read single-cell transcriptomics (scRNA-Seq) is revolutionizing the way we profile heterogeneity in disease. Traditional short-read scRNA-Seq methods are limited in their ability to provide complete transcript coverage, resolve isoforms, and identify novel transcripts. The scRNA-Seq protocols developed for long-read sequencing platforms overcome these limitations by enabling the characterization of full-length transcripts. Long-read scRNA-Seq techniques initially suffered from comparatively poor accuracy compared to short read scRNA-Seq. However, with improvements in accuracy, accessibility, and cost efficiency, long-reads are gaining popularity in the field of scRNA-Seq. This review details the advances in long-read scRNA-Seq, with an emphasis on library preparation protocols and downstream bioinformatics analysis tools.
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Affiliation(s)
- Pallawi Kumari
- Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh, India
| | - Manmeet Kaur
- Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh, India
| | - Kiran Dindhoria
- Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh, India
| | - Bruce Ashford
- Illawarra Shoalhaven Local Health District (ISLHD), NSW Health, Wollongong, NSW, Australia
| | - Shanika L Amarasinghe
- Monash Biomedical Discovery Institute, Monash University, Clayton, VIC, 3800, Australia
- Walter and Eliza Hall Institute of Medical Research, 1G, Royal Parade, Parkville, VIC, 3025, Australia
| | - Amarinder Singh Thind
- Illawarra Shoalhaven Local Health District (ISLHD), NSW Health, Wollongong, NSW, Australia.
- The School of Chemistry and Molecular Bioscience (SCMB), University of Wollongong, Loftus St, Wollongong, NSW, 2500, Australia.
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6
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Scarano C, Veneruso I, De Simone RR, Di Bonito G, Secondino A, D’Argenio V. The Third-Generation Sequencing Challenge: Novel Insights for the Omic Sciences. Biomolecules 2024; 14:568. [PMID: 38785975 PMCID: PMC11117673 DOI: 10.3390/biom14050568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/05/2024] [Accepted: 05/08/2024] [Indexed: 05/25/2024] Open
Abstract
The understanding of the human genome has been greatly improved by the advent of next-generation sequencing technologies (NGS). Despite the undeniable advantages responsible for their widespread diffusion, these methods have some constraints, mainly related to short read length and the need for PCR amplification. As a consequence, long-read sequencers, called third-generation sequencing (TGS), have been developed, promising to overcome NGS. Starting from the first prototype, TGS has progressively ameliorated its chemistries by improving both read length and base-calling accuracy, as well as simultaneously reducing the costs/base. Based on these premises, TGS is showing its potential in many fields, including the analysis of difficult-to-sequence genomic regions, structural variations detection, RNA expression profiling, DNA methylation study, and metagenomic analyses. Protocol standardization and the development of easy-to-use pipelines for data analysis will enhance TGS use, also opening the way for their routine applications in diagnostic contexts.
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Affiliation(s)
- Carmela Scarano
- Department of Molecular Medicine and Medical Biotechnologies, Federico II University, Via Sergio Pansini 5, 80131 Napoli, Italy
- CEINGE-Biotecnologie Avanzate Franco Salvatore, Via G. Salvatore 486, 80145 Napoli, Italy
| | - Iolanda Veneruso
- Department of Molecular Medicine and Medical Biotechnologies, Federico II University, Via Sergio Pansini 5, 80131 Napoli, Italy
- CEINGE-Biotecnologie Avanzate Franco Salvatore, Via G. Salvatore 486, 80145 Napoli, Italy
| | - Rosa Redenta De Simone
- Department of Molecular Medicine and Medical Biotechnologies, Federico II University, Via Sergio Pansini 5, 80131 Napoli, Italy
- CEINGE-Biotecnologie Avanzate Franco Salvatore, Via G. Salvatore 486, 80145 Napoli, Italy
| | - Gennaro Di Bonito
- Department of Molecular Medicine and Medical Biotechnologies, Federico II University, Via Sergio Pansini 5, 80131 Napoli, Italy
- CEINGE-Biotecnologie Avanzate Franco Salvatore, Via G. Salvatore 486, 80145 Napoli, Italy
| | - Angela Secondino
- Department of Molecular Medicine and Medical Biotechnologies, Federico II University, Via Sergio Pansini 5, 80131 Napoli, Italy
- CEINGE-Biotecnologie Avanzate Franco Salvatore, Via G. Salvatore 486, 80145 Napoli, Italy
| | - Valeria D’Argenio
- CEINGE-Biotecnologie Avanzate Franco Salvatore, Via G. Salvatore 486, 80145 Napoli, Italy
- Department of Human Sciences and Quality of Life Promotion, San Raffaele Open University, Via di Val Cannuta 247, 00166 Roma, Italy
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7
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Zhang W, Yang Y, Hua S, Ruan Q, Li D, Wang L, Wang X, Wen X, Liu X, Meng Z. Chromosome-level genome assembly and annotation of the yellow grouper, Epinephelus awoara. Sci Data 2024; 11:151. [PMID: 38296995 PMCID: PMC10830450 DOI: 10.1038/s41597-024-02989-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 01/18/2024] [Indexed: 02/02/2024] Open
Abstract
Epinephelus awoara, as known as yellow grouper, is a significant economic marine fish that has been bred artificially in China. However, the genetic structure and evolutionary history of yellow grouper remains largely unknown. Here, this work presents the high-quality chromosome-level genome assembly of yellow grouper using PacBio single molecule sequencing technique (SMRT) and High-through chromosome conformation capture (Hi-C) technologies. The 984.48 Mb chromosome-level genome of yellow grouper was assembled, with a contig N50 length of 39.77 Mb and scaffold N50 length of 41.39 Mb. Approximately 99.76% of assembled sequences were anchored into 24 pseudo-chromosomes with the assistance of Hi-C reads. Furthermore, approximately 41.17% of the genome was composed of repetitive elements. In total, 24,541 protein-coding genes were predicted, of which 22,509 (91.72%) genes were functionally annotated. The highly accurate, chromosome-level reference genome assembly and annotation are crucial to the understanding of population genetic structure, adaptive evolution and speciation of the yellow grouper.
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Affiliation(s)
- Weiwei Zhang
- State Key Laboratory of Biocontrol, Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory of Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Yang Yang
- State Key Laboratory of Biocontrol, Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory of Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
- Key Laboratory of Tropical Marine Fish Germplasm Innovation and Utilization, Ministry of Agriculture and Rural Affairs, Sanya, 570000, China
- Hainan Engineering Research Center for Germplasm Innovation and Utilization, Sanya, 570000, China
| | - Sijie Hua
- State Key Laboratory of Biocontrol, Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory of Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Qingxin Ruan
- State Key Laboratory of Biocontrol, Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory of Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Duo Li
- State Key Laboratory of Biocontrol, Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory of Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Le Wang
- Molecular Population Genetics Group, Temasek Life Sciences Laboratory, National University of Singapore, Singapore City, 119077, Singapore
| | - Xi Wang
- Area of Ecology and Biodiversity, School of Biological Sciences, University of Hong Kong, Hong Kong SAR, 999077, China
| | - Xin Wen
- School of Marine Biology and Fisheries, Hainan Aquaculture Breeding Engineering Research Center, Hainan Academician Team Innovation Center, Hainan University, Haikou, 570228, China
| | - Xiaochun Liu
- State Key Laboratory of Biocontrol, Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory of Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
- Southern Laboratory of Ocean Science and Engineering (Zhuhai), Zhuhai, 519000, China
| | - Zining Meng
- State Key Laboratory of Biocontrol, Institute of Aquatic Economic Animals and Guangdong Province Key Laboratory of Aquatic Economic Animals, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China.
- Southern Laboratory of Ocean Science and Engineering (Zhuhai), Zhuhai, 519000, China.
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8
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Xu R, Prakoso D, Salvador LCM, Rajeev S. Leptospira transcriptome sequencing using long-read technology reveals unannotated transcripts and potential polyadenylation of RNA molecules. Microbiol Spectr 2023; 11:e0223423. [PMID: 37861327 PMCID: PMC10715090 DOI: 10.1128/spectrum.02234-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 09/11/2023] [Indexed: 10/21/2023] Open
Abstract
IMPORTANCE Leptospirosis, caused by the spirochete bacteria Leptospira, is a zoonotic disease of humans and animals, accounting for over 1 million annual human cases and over 60,000 deaths. We have characterized operon transcriptional units, identified novel RNA coding regions, and reported evidence of potential posttranscriptional polyadenylation in the Leptospira transcriptomes for the first time using Oxford Nanopore Technology RNA sequencing protocols. The newly identified RNA coding regions and operon transcriptional units were detected only in the pathogenic Leptospira transcriptomes, suggesting their significance in virulence-related functions. This article integrates bioinformatics, infectious diseases, microbiology, molecular biology, veterinary sciences, and public health. Given the current knowledge gap in the regulation of leptospiral pathogenicity, our findings offer valuable insights to researchers studying leptospiral pathogenicity and provide both a basis and a tool for researchers focusing on prokaryotic molecular studies for the understanding of RNA compositions and prokaryotic polyadenylation for their organisms of interest.
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Affiliation(s)
- Ruijie Xu
- Institute of Bioinformatics, University of Georgia, Athens, Georgia, USA
- Center for the Ecology of Infectious Diseases, University of Georgia, Athens, Georgia, USA
| | - Dhani Prakoso
- Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, Tennessee, USA
| | - Liliana C. M. Salvador
- Institute of Bioinformatics, University of Georgia, Athens, Georgia, USA
- Center for the Ecology of Infectious Diseases, University of Georgia, Athens, Georgia, USA
- Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, Georgia, USA
| | - Sreekumari Rajeev
- Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, Tennessee, USA
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9
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Lin Y, Kwok S, Hein AE, Thai BQ, Alabi Y, Ostrowski MS, Wu K, Floor SN. RNA molecular recording with an engineered RNA deaminase. Nat Methods 2023; 20:1887-1899. [PMID: 37857907 DOI: 10.1038/s41592-023-02046-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 09/13/2023] [Indexed: 10/21/2023]
Abstract
RNA deaminases are powerful tools for base editing and RNA molecular recording. However, the enzymes used in currently available RNA molecular recorders such as TRIBE, DART or STAMP have limitations due to RNA structure and sequence dependence. We designed a platform for directed evolution of RNA molecular recorders. We engineered an RNA A-to-I deaminase (an RNA adenosine base editor, rABE) that has high activity, low bias and low background. Using rABE, we present REMORA (RNA-encoded molecular recording in adenosines), wherein deamination by rABE writes a molecular record of RNA-protein interactions. By combining rABE with the C-to-U deaminase APOBEC1 and long-read RNA sequencing, we measured binding by two RNA-binding proteins on single messenger RNAs. Orthogonal RNA molecular recording of mammalian Pumilio proteins PUM1 and PUM2 shows that PUM1 competes with PUM2 for a subset of sites in cells. Furthermore, we identify transcript isoform-specific RNA-protein interactions driven by isoform changes distal to the binding site. The genetically encodable RNA deaminase rABE enables single-molecule identification of RNA-protein interactions with cell type specificity.
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Affiliation(s)
- Yizhu Lin
- Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA, USA
| | - Samentha Kwok
- Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA, USA
| | - Abigail E Hein
- Tetrad Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Bao Quoc Thai
- Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA, USA
- MSTP Program, University of Arizona, Tuscon, AZ, USA
| | - Yewande Alabi
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Megan S Ostrowski
- Gladstone Institute for Data Science and Biotechnology, San Francisco, CA, USA
| | - Ke Wu
- Gladstone Institute for Data Science and Biotechnology, San Francisco, CA, USA
| | - Stephen N Floor
- Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
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10
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Long S, Yan Y, Xu H, Wang L, Jiang J, Xu Z, Liu R, Zhou Q, Huang X, Chen J, Li Z, Wei W, Li X. Insights into the regulatory role of RNA methylation modifications in glioma. J Transl Med 2023; 21:810. [PMID: 37964279 PMCID: PMC10644640 DOI: 10.1186/s12967-023-04653-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 10/24/2023] [Indexed: 11/16/2023] Open
Abstract
Epitranscriptomic abnormalities, which are highly prevalent in primary central nervous system malignancies, have been identified as crucial contributors to the development and progression of gliomas. RNA epitranscriptomic modifications, particularly the reversible modification methylation, have been observed throughout the RNA cycle. Epitranscriptomic modifications, which regulate RNA transcription and translation, have profound biological implications. These modifications are associated with the development of several cancer types. Notably, three main protein types-writers, erasers, and readers, in conjunction with other related proteins, mediate these epitranscriptomic changes. This review primarily focuses on the role of recently identified RNA methylation modifications in gliomas, such as N6-methyladenosine (m6A), 5-methylcytosine (m5C), N7-methylguanosine (m7G), and N1-methyladenosine (m1A). We delved into their corresponding writers, erasers, readers, and related binding proteins to propose new approaches and prognostic indicators for patients with glioma.
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Affiliation(s)
- Shengrong Long
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Yu Yan
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Hongyu Xu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Lesheng Wang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Jiazhi Jiang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Ziyue Xu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Runming Liu
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Qiangqiang Zhou
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Xiaopeng Huang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Jincao Chen
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Zhiqiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Wei Wei
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
| | - Xiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
- Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
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11
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Liu Z, Zhu C, Steinmetz LM, Wei W. Identification and quantification of small exon-containing isoforms in long-read RNA sequencing data. Nucleic Acids Res 2023; 51:e104. [PMID: 37843096 PMCID: PMC10639058 DOI: 10.1093/nar/gkad810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 08/03/2023] [Accepted: 09/20/2023] [Indexed: 10/17/2023] Open
Abstract
Small exons are pervasive in transcriptomes across organisms, and their quantification in RNA isoforms is crucial for understanding gene functions. Although long-read RNA-seq based on Oxford Nanopore Technologies (ONT) offers the advantage of covering transcripts in full length, its lower base accuracy poses challenges for identifying individual exons, particularly microexons (≤ 30 nucleotides). Here, we systematically assess small exons quantification in synthetic and human ONT RNA-seq datasets. We demonstrate that reads containing small exons are often not properly aligned, affecting the quantification of relevant transcripts. Thus, we develop a local-realignment method for misaligned exons (MisER), which remaps reads with misaligned exons to the transcript references. Using synthetic and simulated datasets, we demonstrate the high sensitivity and specificity of MisER for the quantification of transcripts containing small exons. Moreover, MisER enabled us to identify small exons with a higher percent spliced-in index (PSI) in neural, particularly neural-regulated microexons, when comparing 14 neural to 16 non-neural tissues in humans. Our work introduces an improved quantification method for long-read RNA-seq and especially facilitates studies using ONT long-reads to elucidate the regulation of genes involving small exons.
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Affiliation(s)
- Zhen Liu
- Lingang Laboratory, Shanghai, Shanghai 200031, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, Shanghai 200031, China
| | - Chenchen Zhu
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Lars M Steinmetz
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA
- Stanford Genome Technology Center, Stanford University, Palo Alto, CA 94304, USA
| | - Wu Wei
- Lingang Laboratory, Shanghai, Shanghai 200031, China
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, Shanghai 200031, China
- Center for Biomedical Informatics, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, Shanghai 200040, China
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12
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Tomaszkiewicz M, Sahlin K, Medvedev P, Makova KD. Transcript Isoform Diversity of Ampliconic Genes on the Y Chromosome of Great Apes. Genome Biol Evol 2023; 15:evad205. [PMID: 37967251 PMCID: PMC10673640 DOI: 10.1093/gbe/evad205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 10/20/2023] [Accepted: 11/03/2023] [Indexed: 11/17/2023] Open
Abstract
Y chromosomal ampliconic genes (YAGs) are important for male fertility, as they encode proteins functioning in spermatogenesis. The variation in copy number and expression levels of these multicopy gene families has been studied in great apes; however, the diversity of splicing variants remains unexplored. Here, we deciphered the sequences of polyadenylated transcripts of all nine YAG families (BPY2, CDY, DAZ, HSFY, PRY, RBMY, TSPY, VCY, and XKRY) from testis samples of six great ape species (human, chimpanzee, bonobo, gorilla, Bornean orangutan, and Sumatran orangutan). To achieve this, we enriched YAG transcripts with capture probe hybridization and sequenced them with long (Pacific Biosciences) reads. Our analysis of this data set resulted in several findings. First, we observed evolutionarily conserved alternative splicing patterns for most YAG families except for BPY2 and PRY. Second, our results suggest that BPY2 transcripts and proteins originate from separate genomic regions in bonobo versus human, which is possibly facilitated by acquiring new promoters. Third, our analysis indicates that the PRY gene family, having the highest representation of noncoding transcripts, has been undergoing pseudogenization. Fourth, we have not detected signatures of selection in the five YAG families shared among great apes, even though we identified many species-specific protein-coding transcripts. Fifth, we predicted consensus disorder regions across most gene families and species, which could be used for future investigations of male infertility. Overall, our work illuminates the YAG isoform landscape and provides a genomic resource for future functional studies focusing on infertility phenotypes in humans and critically endangered great apes.
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Affiliation(s)
- Marta Tomaszkiewicz
- Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA
| | - Kristoffer Sahlin
- Department of Mathematics, Science for Life Laboratory, Stockholm University, Stockholm, Sweden
| | - Paul Medvedev
- Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA 16802, USA
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA
- Center for Medical Genomics, The Pennsylvania State University, University Park, PA 16802, USA
- Center for Computational Biology and Bioinformatics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Kateryna D Makova
- Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA
- Center for Medical Genomics, The Pennsylvania State University, University Park, PA 16802, USA
- Center for Computational Biology and Bioinformatics, The Pennsylvania State University, University Park, PA 16802, USA
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13
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Kainth AS, Haddad GA, Hall JM, Ruthenburg AJ. Merging short and stranded long reads improves transcript assembly. PLoS Comput Biol 2023; 19:e1011576. [PMID: 37883581 PMCID: PMC10629667 DOI: 10.1371/journal.pcbi.1011576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 11/07/2023] [Accepted: 10/05/2023] [Indexed: 10/28/2023] Open
Abstract
Long-read RNA sequencing has arisen as a counterpart to short-read sequencing, with the potential to capture full-length isoforms, albeit at the cost of lower depth. Yet this potential is not fully realized due to inherent limitations of current long-read assembly methods and underdeveloped approaches to integrate short-read data. Here, we critically compare the existing methods and develop a new integrative approach to characterize a particularly challenging pool of low-abundance long noncoding RNA (lncRNA) transcripts from short- and long-read sequencing in two distinct cell lines. Our analysis reveals severe limitations in each of the sequencing platforms. For short-read assemblies, coverage declines at transcript termini resulting in ambiguous ends, and uneven low coverage results in segmentation of a single transcript into multiple transcripts. Conversely, long-read sequencing libraries lack depth and strand-of-origin information in cDNA-based methods, culminating in erroneous assembly and quantitation of transcripts. We also discover a cDNA synthesis artifact in long-read datasets that markedly impacts the identity and quantitation of assembled transcripts. Towards remediating these problems, we develop a computational pipeline to "strand" long-read cDNA libraries that rectifies inaccurate mapping and assembly of long-read transcripts. Leveraging the strengths of each platform and our computational stranding, we also present and benchmark a hybrid assembly approach that drastically increases the sensitivity and accuracy of full-length transcript assembly on the correct strand and improves detection of biological features of the transcriptome. When applied to a challenging set of under-annotated and cell-type variable lncRNA, our method resolves the segmentation problem of short-read sequencing and the depth problem of long-read sequencing, resulting in the assembly of coherent transcripts with precise 5' and 3' ends. Our workflow can be applied to existing datasets for superior demarcation of transcript ends and refined isoform structure, which can enable better differential gene expression analyses and molecular manipulations of transcripts.
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Affiliation(s)
- Amoldeep S. Kainth
- Department of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, Illinois, United States of America
| | - Gabriela A. Haddad
- Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America
| | - Johnathon M. Hall
- Department of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, Illinois, United States of America
| | - Alexander J. Ruthenburg
- Department of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, Illinois, United States of America
- Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, Illinois, United States of America
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14
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Zhang Z, Bae B, Cuddleston WH, Miura P. Coordination of alternative splicing and alternative polyadenylation revealed by targeted long read sequencing. Nat Commun 2023; 14:5506. [PMID: 37679364 PMCID: PMC10484994 DOI: 10.1038/s41467-023-41207-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 08/25/2023] [Indexed: 09/09/2023] Open
Abstract
Nervous system development is associated with extensive regulation of alternative splicing (AS) and alternative polyadenylation (APA). AS and APA have been extensively studied in isolation, but little is known about how these processes are coordinated. Here, the coordination of cassette exon (CE) splicing and APA in Drosophila was investigated using a targeted long-read sequencing approach we call Pull-a-Long-Seq (PL-Seq). This cost-effective method uses cDNA pulldown and Nanopore sequencing combined with an analysis pipeline to quantify inclusion of alternative exons in connection with alternative 3' ends. Using PL-Seq, we identified genes that exhibit significant differences in CE splicing depending on connectivity to short versus long 3'UTRs. Genomic long 3'UTR deletion was found to alter upstream CE splicing in short 3'UTR isoforms and ELAV loss differentially affected CE splicing depending on connectivity to alternative 3'UTRs. This work highlights the importance of considering connectivity to alternative 3'UTRs when monitoring AS events.
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Affiliation(s)
- Zhiping Zhang
- Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, USA
- Department of Biology, University of Nevada, Reno, Reno, NV, USA
| | - Bongmin Bae
- Department of Biology, University of Nevada, Reno, Reno, NV, USA
| | | | - Pedro Miura
- Department of Genetics and Genome Sciences, University of Connecticut School of Medicine, Farmington, CT, USA.
- Department of Biology, University of Nevada, Reno, Reno, NV, USA.
- Institute for System Genomics, University of Connecticut, Storrs, CT, USA.
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15
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Li Y, Mokrani A, Fu H, Shi C, Li Q, Liu S. Development of Nanopore sequencing-based full-length transcriptome database toward functional genome annotation of the Pacific oyster, Crassostrea gigas. Genomics 2023; 115:110697. [PMID: 37567397 DOI: 10.1016/j.ygeno.2023.110697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 07/28/2023] [Accepted: 08/08/2023] [Indexed: 08/13/2023]
Abstract
The Pacific oyster (Crassostrea gigas) is a widely cultivated shellfish in the world, while its transcriptome diversity remains less unexplored due to the limitation of short reads. In this study, we used Oxford Nanopore sequencing to develop the full-length transcriptome database of C. gigas. We identified 77,920 full-length transcripts from 21,523 genes, and uncovered 9668 alternative splicing events and 87,468 alternative polyadenylation sites. Notably, a total of 16,721 novel transcripts were annotated in this work. Furthermore, integrative analysis of 25 publicly available RNA-seq datasets revealed the transcriptome diversity involved in post-transcriptional regulation in C. gigas. We further developed a Drupal based webserver, Cgtdb, which can be used for transcriptome visualization, sequence alignment, and functional genome annotation analyses. This work provides valuable resources and a useful tool for integrative analysis of various transcriptome datasets in C. gigas, which will serve as an essential reference for functional annotation of the oyster genome.
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Affiliation(s)
- Yin Li
- Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao 266003, China
| | - Ahmed Mokrani
- Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao 266003, China
| | - Huiru Fu
- Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao 266003, China
| | - Chenyu Shi
- Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao 266003, China
| | - Qi Li
- Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao 266003, China
| | - Shikai Liu
- Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao 266003, China.
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16
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Vachon A, Seo GE, Patel NH, Coffin CS, Marinier E, Eyras E, Osiowy C. Hepatitis B virus serum RNA transcript isoform composition and proportion in chronic hepatitis B patients by nanopore long-read sequencing. Front Microbiol 2023; 14:1233178. [PMID: 37645229 PMCID: PMC10461054 DOI: 10.3389/fmicb.2023.1233178] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 07/31/2023] [Indexed: 08/31/2023] Open
Abstract
Introduction Serum hepatitis B virus (HBV) RNA is a promising new biomarker to manage and predict clinical outcomes of chronic hepatitis B (CHB) infection. However, the HBV serum transcriptome within encapsidated particles, which is the biomarker analyte measured in serum, remains poorly characterized. This study aimed to evaluate serum HBV RNA transcript composition and proportionality by PCR-cDNA nanopore sequencing of samples from CHB patients having varied HBV genotype (gt, A to F) and HBeAg status. Methods Longitudinal specimens from 3 individuals during and following pregnancy (approximately 7 months between time points) were also investigated. HBV RNA extracted from 16 serum samples obtained from 13 patients (73.3% female, 84.6% Asian) was sequenced and serum HBV RNA isoform detection and quantification were performed using three bioinformatic workflows; FLAIR, RATTLE, and a GraphMap-based workflow within the Galaxy application. A spike-in RNA variant (SIRV) control mix was used to assess run quality and coverage. The proportionality of transcript isoforms was based on total HBV reads determined by each workflow. Results All chosen isoform detection workflows showed high agreement in transcript proportionality and composition for most samples. HBV pregenomic RNA (pgRNA) was the most frequently observed transcript isoform (93.8% of patient samples), while other detected transcripts included pgRNA spliced variants, 3' truncated variants and HBx mRNA, depending on the isoform detection method. Spliced variants of pgRNA were primarily observed in HBV gtB, C, E, or F-infected patients, with the Sp1 spliced variant detected most frequently. Twelve other pgRNA spliced variant transcripts were identified, including 3 previously unidentified transcripts, although spliced isoform identification was very dependent on the workflow used to analyze sequence data. Longitudinal sampling among pregnant and post-partum antiviral-treated individuals showed increasing proportions of 3' truncated pgRNA variants over time. Conclusions This study demonstrated long-read sequencing as a promising tool for the characterization of the serum HBV transcriptome. However, further studies are needed to better understand how serum HBV RNA isoform type and proportion are linked to CHB disease progression and antiviral treatment response.
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Affiliation(s)
- Alicia Vachon
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada
| | - Grace E. Seo
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada
| | - Nishi H. Patel
- Department of Medicine and Department of Microbiology, Immunology, and Infectious Diseases, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Carla S. Coffin
- Department of Medicine and Department of Microbiology, Immunology, and Infectious Diseases, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Eric Marinier
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada
| | - Eduardo Eyras
- EMBL Australia Partner Laboratory Network at the Australian National University, Canberra, ACT, Australia
- The John Curtin School of Medical Research, ANU College of Health and Medicine, Canberra, ACT, Australia
- Catalan Institution for Research and Advanced Studies, Barcelona, Spain
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Carla Osiowy
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada
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17
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Su T, Hollas MAR, Fellers RT, Kelleher NL. Identification of Splice Variants and Isoforms in Transcriptomics and Proteomics. Annu Rev Biomed Data Sci 2023; 6:357-376. [PMID: 37561601 PMCID: PMC10840079 DOI: 10.1146/annurev-biodatasci-020722-044021] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
Alternative splicing is pivotal to the regulation of gene expression and protein diversity in eukaryotic cells. The detection of alternative splicing events requires specific omics technologies. Although short-read RNA sequencing has successfully supported a plethora of investigations on alternative splicing, the emerging technologies of long-read RNA sequencing and top-down mass spectrometry open new opportunities to identify alternative splicing and protein isoforms with less ambiguity. Here, we summarize improvements in short-read RNA sequencing for alternative splicing analysis, including percent splicing index estimation and differential analysis. We also review the computational methods used in top-down proteomics analysis regarding proteoform identification, including the construction of databases of protein isoforms and statistical analyses of search results. While many improvements in sequencing and computational methods will result from emerging technologies, there should be future endeavors to increase the effectiveness, integration, and proteome coverage of alternative splicing events.
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Affiliation(s)
- Taojunfeng Su
- Department of Molecular Biosciences, Northwestern University, Evanston, Illinois, USA;
| | - Michael A R Hollas
- Proteomics Center of Excellence, Northwestern University, Evanston, Illinois, USA
| | - Ryan T Fellers
- Proteomics Center of Excellence, Northwestern University, Evanston, Illinois, USA
| | - Neil L Kelleher
- Department of Molecular Biosciences, Northwestern University, Evanston, Illinois, USA;
- Proteomics Center of Excellence, Northwestern University, Evanston, Illinois, USA
- Department of Chemistry, Northwestern University, Evanston, Illinois, USA
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18
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Pardo-Palacios FJ, Wang D, Reese F, Diekhans M, Carbonell-Sala S, Williams B, Loveland JE, De María M, Adams MS, Balderrama-Gutierrez G, Behera AK, Gonzalez JM, Hunt T, Lagarde J, Liang CE, Li H, Jerryd Meade M, Moraga Amador DA, Prjibelski AD, Birol I, Bostan H, Brooks AM, Hasan Çelik M, Chen Y, Du MR, Felton C, Göke J, Hafezqorani S, Herwig R, Kawaji H, Lee J, Liang Li J, Lienhard M, Mikheenko A, Mulligan D, Ming Nip K, Pertea M, Ritchie ME, Sim AD, Tang AD, Kei Wan Y, Wang C, Wong BY, Yang C, Barnes I, Berry A, Capella S, Dhillon N, Fernandez-Gonzalez JM, Ferrández-Peral L, Garcia-Reyero N, Goetz S, Hernández-Ferrer C, Kondratova L, Liu T, Martinez-Martin A, Menor C, Mestre-Tomás J, Mudge JM, Panayotova NG, Paniagua A, Repchevsky D, Rouchka E, Saint-John B, Sapena E, Sheynkman L, Laird Smith M, Suner MM, Takahashi H, Youngworth IA, Carninci P, Denslow ND, Guigó R, Hunter ME, Tilgner HU, Wold BJ, Vollmers C, Frankish A, Fai Au K, Sheynkman GM, Mortazavi A, Conesa A, Brooks AN. Systematic assessment of long-read RNA-seq methods for transcript identification and quantification. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.25.550582. [PMID: 37546854 PMCID: PMC10402094 DOI: 10.1101/2023.07.25.550582] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
The Long-read RNA-Seq Genome Annotation Assessment Project (LRGASP) Consortium was formed to evaluate the effectiveness of long-read approaches for transcriptome analysis. The consortium generated over 427 million long-read sequences from cDNA and direct RNA datasets, encompassing human, mouse, and manatee species, using different protocols and sequencing platforms. These data were utilized by developers to address challenges in transcript isoform detection and quantification, as well as de novo transcript isoform identification. The study revealed that libraries with longer, more accurate sequences produce more accurate transcripts than those with increased read depth, whereas greater read depth improved quantification accuracy. In well-annotated genomes, tools based on reference sequences demonstrated the best performance. When aiming to detect rare and novel transcripts or when using reference-free approaches, incorporating additional orthogonal data and replicate samples are advised. This collaborative study offers a benchmark for current practices and provides direction for future method development in transcriptome analysis.
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Affiliation(s)
- Francisco J. Pardo-Palacios
- Institute for Integrative Systems Biology, Spanish National Research Council (CSIC), Paterna, Spain
- These authors contributed equally to this work
| | - Dingjie Wang
- Department of Biomedical Informatics, The Ohio State University, Columbus, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA
- These authors contributed equally to this work
| | - Fairlie Reese
- Developmental and Cell Biology, University of California, Irvine, Irvine, USA
- Center for Complex Biological Systems, University of California, Irvine, Irvine, USA
- These authors contributed equally to this work
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, USA
- These authors contributed equally to this work
| | - Sílvia Carbonell-Sala
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Catalonia, Spain
- These authors contributed equally to this work
| | - Brian Williams
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, USA
- These authors contributed equally to this work
| | - Jane E. Loveland
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
- These authors contributed equally to this work
| | - Maite De María
- Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, USA
- Center for Environmental and Human Toxicology, University of Florida, Gainesville, USA
- These authors contributed equally to this work
| | - Matthew S. Adams
- Molecular Cell and Developmental Biology, University of California, Santa Cruz, Santa Cruz, USA
- These authors contributed equally to this work
| | - Gabriela Balderrama-Gutierrez
- Developmental and Cell Biology, University of California, Irvine, Irvine, USA
- Center for Complex Biological Systems, University of California, Irvine, Irvine, USA
- These authors contributed equally to this work
| | - Amit K. Behera
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, USA
- These authors contributed equally to this work
| | - Jose M. Gonzalez
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
- These authors contributed equally to this work
| | - Toby Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
- These authors contributed equally to this work
| | - Julien Lagarde
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Catalonia, Spain
- Flomics Biotech, Dr Aiguader 88, Barcelona 08003, Spain
- These authors contributed equally to this work
| | - Cindy E. Liang
- Molecular Cell and Developmental Biology, University of California, Santa Cruz, Santa Cruz, USA
- These authors contributed equally to this work
| | - Haoran Li
- Department of Biomedical Informatics, The Ohio State University, Columbus, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA
- These authors contributed equally to this work
| | - Marcus Jerryd Meade
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, USA
- These authors contributed equally to this work
| | - David A. Moraga Amador
- Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, USA
- These authors contributed equally to this work
| | - Andrey D. Prjibelski
- Department of Computer Science, University of Helsinki, Helsinki, Finland
- Center for Bioinformatics and Algorithmic Biotechnology, Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia
- These authors contributed equally to this work
| | - Inanc Birol
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, Canada
| | - Hamed Bostan
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, USA
| | - Ashley M. Brooks
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, USA
| | - Muhammed Hasan Çelik
- Developmental and Cell Biology, University of California, Irvine, Irvine, USA
- Center for Complex Biological Systems, University of California, Irvine, Irvine, USA
| | - Ying Chen
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Mei R,M. Du
- Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
| | - Colette Felton
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, USA
| | - Jonathan Göke
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore
| | - Saber Hafezqorani
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, Canada
| | - Ralf Herwig
- Department Computational Molecular Biology, Max-Planck-Institute for Molecular Genetics, Berlin, Germany
| | - Hideya Kawaji
- Research Center for Genome & Medical Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Joseph Lee
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jian Liang Li
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, USA
| | - Matthias Lienhard
- Department Computational Molecular Biology, Max-Planck-Institute for Molecular Genetics, Berlin, Germany
| | - Alla Mikheenko
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
| | - Dennis Mulligan
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, USA
| | - Ka Ming Nip
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, Canada
| | - Mihaela Pertea
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, USA
- Center for Computational Biology, Johns Hopkins University, Baltimore, USA
| | - Matthew E. Ritchie
- Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
- Department of Medical Biology, The University of Melbourne, Parkville, Australia
| | - Andre D. Sim
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Alison D. Tang
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, USA
| | - Yuk Kei Wan
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Changqing Wang
- Walter and Eliza Hall Institute of Medical Research, Parkville, Australia
| | - Brandon Y. Wong
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, USA
- Center for Computational Biology, Johns Hopkins University, Baltimore, USA
| | - Chen Yang
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, Canada
| | - If Barnes
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Andrew Berry
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | | | - Namrita Dhillon
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, USA
| | | | - Luis Ferrández-Peral
- Institute for Integrative Systems Biology, Spanish National Research Council (CSIC), Paterna, Spain
| | - Natàlia Garcia-Reyero
- Environmental Laboratory, US Army Engineer Research & Development Center, Vicksburg, USA
| | | | | | | | | | | | | | - Jorge Mestre-Tomás
- Institute for Integrative Systems Biology, Spanish National Research Council (CSIC), Paterna, Spain
| | - Jonathan M. Mudge
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Nedka G. Panayotova
- Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, USA
| | - Alejandro Paniagua
- Institute for Integrative Systems Biology, Spanish National Research Council (CSIC), Paterna, Spain
| | | | - Eric Rouchka
- Department of Biochemistry & Molecular Genetics, University of Louisville, Louisville, USA
| | - Brandon Saint-John
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, USA
| | - Enrique Sapena
- European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK, UK
| | - Leon Sheynkman
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, USA
| | - Melissa Laird Smith
- Department of Biochemistry & Molecular Genetics, University of Louisville, Louisville, USA
| | - Marie-Marthe Suner
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Hazuki Takahashi
- Center for Integrative Medical Sciences, Laboratory for Transcriptome Technology, RIKEN, Yokohama, Japan
| | | | - Piero Carninci
- Center for Integrative Medical Sciences, Laboratory for Transcriptome Technology, RIKEN, Yokohama, Japan
- Human Technopole, Milano, Italy
| | - Nancy D. Denslow
- Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, USA
- Center for Environmental and Human Toxicology, Department of Physiological Sciences,, University of Florida, Gainesville, USA
| | - Roderic Guigó
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Catalonia, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain
| | - Margaret E. Hunter
- U.S. Geological Survey, Wetland and Aquatic Research Center, Gainesville, USA
| | - Hagen U. Tilgner
- Brain and Mind Research Institute and Center for Neurogenetics, Weill Cornell Medicine, New York City, USA
| | - Barbara J. Wold
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, USA
| | - Christopher Vollmers
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, USA
| | - Adam Frankish
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Kin Fai Au
- Department of Biomedical Informatics, The Ohio State University, Columbus, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA
| | - Gloria M. Sheynkman
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, USA
- Center for Public Health Genomics
- UVA Cancer Center, University of Virginia, Charlottesville, USA
| | - Ali Mortazavi
- Developmental and Cell Biology, University of California, Irvine, Irvine, USA
- Center for Complex Biological Systems, University of California, Irvine, Irvine, USA
| | - Ana Conesa
- Institute for Integrative Systems Biology, Spanish National Research Council (CSIC), Paterna, Spain
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA
| | - Angela N. Brooks
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, USA
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, USA
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19
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Mou CY, Li Q, Huang ZP, Ke HY, Zhao H, Zhao ZM, Duan YL, Li HD, Xiao Y, Qian ZM, Du J, Zhou J, Zhang L. PacBio single-molecule long-read sequencing provides new insights into the complexity of full-length transcripts in oriental river prawn, macrobrachium nipponense. BMC Genomics 2023; 24:340. [PMID: 37340366 DOI: 10.1186/s12864-023-09442-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 06/11/2023] [Indexed: 06/22/2023] Open
Abstract
BACKGROUND Oriental river prawn (Macrobrachium nipponense) is one of the most dominant species in shrimp farming in China, which is a rich source of protein and contributes to a significant impact on the quality of human life. Thus, more complete and accurate annotation of gene models are important for the breeding research of oriental river prawn. RESULTS A full-length transcriptome of oriental river prawn muscle was obtained using the PacBio Sequel platform. Then, 37.99 Gb of subreads were sequenced, including 584,498 circular consensus sequences, among which 512,216 were full length non-chimeric sequences. After Illumina-based correction of long PacBio reads, 6,599 error-corrected isoforms were identified. Transcriptome structural analysis revealed 2,263 and 2,555 alternative splicing (AS) events and alternative polyadenylation (APA) sites, respectively. In total, 620 novel genes (NGs), 197 putative transcription factors (TFs), and 291 novel long non-coding RNAs (lncRNAs) were identified. CONCLUSIONS In summary, this study offers novel insights into the transcriptome complexity and diversity of this prawn species, and provides valuable information for understanding the genomic structure and improving the draft genome annotation of oriental river prawn.
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Affiliation(s)
- Cheng-Yan Mou
- Fisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, 611731, China
| | - Qiang Li
- Fisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, 611731, China
| | - Zhi-Peng Huang
- Fisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, 611731, China
| | - Hong-Yu Ke
- Fisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, 611731, China
| | - Han Zhao
- Fisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, 611731, China
| | - Zhong-Meng Zhao
- Fisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, 611731, China
| | - Yuan-Liang Duan
- Fisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, 611731, China
| | - Hua-Dong Li
- Fisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, 611731, China
| | - Yu Xiao
- Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, 610066, China
| | - Zhou-Ming Qian
- Chengdu Eaters Agricultural Group Co., Ltd, Chengdu, Sichuan, 610000, China
| | - Jun Du
- Fisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, 611731, China
| | - Jian Zhou
- Fisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, 611731, China.
| | - Lu Zhang
- Fisheries Institute, Sichuan Academy of Agricultural Sciences, Chengdu, Sichuan, 611731, China.
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20
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Alfonso-Gonzalez C, Legnini I, Holec S, Arrigoni L, Ozbulut HC, Mateos F, Koppstein D, Rybak-Wolf A, Bönisch U, Rajewsky N, Hilgers V. Sites of transcription initiation drive mRNA isoform selection. Cell 2023; 186:2438-2455.e22. [PMID: 37178687 PMCID: PMC10228280 DOI: 10.1016/j.cell.2023.04.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 12/16/2022] [Accepted: 04/06/2023] [Indexed: 05/15/2023]
Abstract
The generation of distinct messenger RNA isoforms through alternative RNA processing modulates the expression and function of genes, often in a cell-type-specific manner. Here, we assess the regulatory relationships between transcription initiation, alternative splicing, and 3' end site selection. Applying long-read sequencing to accurately represent even the longest transcripts from end to end, we quantify mRNA isoforms in Drosophila tissues, including the transcriptionally complex nervous system. We find that in Drosophila heads, as well as in human cerebral organoids, 3' end site choice is globally influenced by the site of transcription initiation (TSS). "Dominant promoters," characterized by specific epigenetic signatures including p300/CBP binding, impose a transcriptional constraint to define splice and polyadenylation variants. In vivo deletion or overexpression of dominant promoters as well as p300/CBP loss disrupted the 3' end expression landscape. Our study demonstrates the crucial impact of TSS choice on the regulation of transcript diversity and tissue identity.
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Affiliation(s)
- Carlos Alfonso-Gonzalez
- Max-Planck-Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany; Faculty of Biology, Albert Ludwig University, 79104 Freiburg, Germany; International Max Planck Research School for Molecular and Cellular Biology (IMPRS-MCB), 79108 Freiburg, Germany
| | - Ivano Legnini
- Laboratory for Systems Biology of Gene Regulatory Elements, Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 10115 Berlin, Germany
| | - Sarah Holec
- Max-Planck-Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany
| | - Laura Arrigoni
- Max-Planck-Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany
| | - Hasan Can Ozbulut
- Max-Planck-Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany; Faculty of Biology, Albert Ludwig University, 79104 Freiburg, Germany
| | - Fernando Mateos
- Max-Planck-Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany
| | - David Koppstein
- Max-Planck-Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany
| | - Agnieszka Rybak-Wolf
- Organoid Platform, Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 10115 Berlin, Germany
| | - Ulrike Bönisch
- Max-Planck-Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany
| | - Nikolaus Rajewsky
- Laboratory for Systems Biology of Gene Regulatory Elements, Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 10115 Berlin, Germany; Charité - Universitätsmedizin, Charitépl. 1, 10117 Berlin, Germany; German Center for Cardiovascular Research (DZHK), Site Berlin, Berlin, Germany; NeuroCure Cluster of Excellence, Berlin, Germany; German Cancer Consortium (DKTK); National Center for Tumor Diseases (NCT), Site Berlin, Berlin, Germany
| | - Valérie Hilgers
- Max-Planck-Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany; Signalling Research Centre CIBSS, University of Freiburg, Schänzlestraße 18, 79104 Freiburg, Germany.
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21
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Zou Y, Guo Q, Chang Y, Zhong Y, Cheng L, Wei W. Alternative splicing affects synapses in the hippocampus of offspring after maternal fructose exposure during gestation and lactation. Chem Biol Interact 2023; 379:110518. [PMID: 37121297 DOI: 10.1016/j.cbi.2023.110518] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/15/2023] [Accepted: 04/27/2023] [Indexed: 05/02/2023]
Abstract
Increased fructose over-intake is a global issue. Maternal fructose exposure during gestation and lactation can impair brain development in offspring. However, the effect on synapses is still unknown. For the diversification of RNA and biological functions, alternative splicing (AS) and alternative polyadenylation (APA) are essential. We constructed a maternal high-fructose diet model by administering 13% and 40% fructose water. The student's t-test analyzed the results of RT-qPCR. All other results were analyzed by one-way analysis of variance. The animal behavior experiment results revealed that conditioning and associative memory had been damaged. The proteins that form synapses were consistently low-expressed. In addition, compared with the control group, the Oxford Nanopore Technologies platform's full-length RNA-sequencing identified 298 different spliced genes (DSGs) and 51 differentially expressed alternative splicing (DEAS) genes in the 13% fructose group. 313 DSGs and 74 DEAS genes were in the 40% fructose group. Enrichment analysis based on these altered genes revealed some enlightening items and pathways. Our findings demonstrated the transcriptome mechanism underlying maternal fructose exposure during gestation and lactation and impaired synapse function during the transcripts' editing.
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Affiliation(s)
- Yuchen Zou
- Child and Adolescent Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, PR China
| | - Qing Guo
- Child and Adolescent Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, PR China
| | - Yidan Chang
- Child and Adolescent Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, PR China
| | - Yongyong Zhong
- Child and Adolescent Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, PR China
| | - Lin Cheng
- Child and Adolescent Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, PR China
| | - Wei Wei
- Child and Adolescent Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, PR China.
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22
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Cosi I, Moccia A, Pescucci C, Munagala U, Di Giorgio S, Sineo I, Conticello SG, Notaro R, De Angioletti M. Identification and characterization of novel ETV4 splice variants in prostate cancer. Sci Rep 2023; 13:5267. [PMID: 37002241 PMCID: PMC10066307 DOI: 10.1038/s41598-023-29484-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 02/06/2023] [Indexed: 04/03/2023] Open
Abstract
ETV4, one of ETS proteins overexpressed in prostate cancer, promotes migration, invasion, and proliferation in prostate cells. This study identifies a series of previously unknown ETV4 alternatively spliced transcripts in human prostate cell lines. Their expression has been validated using several unbiased techniques, including Nanopore sequencing. Most of these transcripts originate from an in-frame exon skipping and, thus, are expected to be translated into ETV4 protein isoforms. Functional analysis of the most abundant among these isoforms shows that they still bear an activity, namely a reduced ability to promote proliferation and a residual ability to regulate the transcription of ETV4 target genes. Alternatively spliced genes are common in cancer cells: an analysis of the TCGA dataset confirms the abundance of these novel ETV4 transcripts in prostate tumors, in contrast to peritumoral tissues. Since none of their translated isoforms have acquired a higher oncogenic potential, such abundance is likely to reflect the tumor deranged splicing machinery. However, it is also possible that their interaction with the canonical variants may contribute to the biology and the clinics of prostate cancer. Further investigations are needed to elucidate the biological role of these ETV4 transcripts and of their putative isoforms.
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Affiliation(s)
- Irene Cosi
- Core Research Laboratory, Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Viale Pieraccini 6, 50139, Florence, Italy
- ICCOM - National Research Council, Sesto Fiorentino, Florence, Italy
| | - Annalisa Moccia
- Core Research Laboratory, Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Viale Pieraccini 6, 50139, Florence, Italy
| | - Chiara Pescucci
- Core Research Laboratory, Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Viale Pieraccini 6, 50139, Florence, Italy
| | - Uday Munagala
- Core Research Laboratory, Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Viale Pieraccini 6, 50139, Florence, Italy
| | - Salvatore Di Giorgio
- Core Research Laboratory, Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Viale Pieraccini 6, 50139, Florence, Italy
| | - Irene Sineo
- Core Research Laboratory, Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Viale Pieraccini 6, 50139, Florence, Italy
| | - Silvestro G Conticello
- Core Research Laboratory, Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Viale Pieraccini 6, 50139, Florence, Italy
- IFC - National Research Council, Pisa, Italy
| | - Rosario Notaro
- Core Research Laboratory, Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Viale Pieraccini 6, 50139, Florence, Italy
- IFC - National Research Council, Pisa, Italy
| | - Maria De Angioletti
- Core Research Laboratory, Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO), Viale Pieraccini 6, 50139, Florence, Italy.
- ICCOM - National Research Council, Sesto Fiorentino, Florence, Italy.
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23
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Zhang Z, Bae B, Cuddleston WH, Miura P. Coordination of Alternative Splicing and Alternative Polyadenylation revealed by Targeted Long-Read Sequencing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.23.533999. [PMID: 36993601 PMCID: PMC10055423 DOI: 10.1101/2023.03.23.533999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Nervous system development is associated with extensive regulation of alternative splicing (AS) and alternative polyadenylation (APA). AS and APA have been extensively studied in isolation, but little is known about how these processes are coordinated. Here, the coordination of cassette exon (CE) splicing and APA in Drosophila was investigated using a targeted long-read sequencing approach we call Pull-a-Long-Seq (PL-Seq). This cost-effective method uses cDNA pulldown and Nanopore sequencing combined with an analysis pipeline to resolve the connectivity of alternative exons to alternative 3' ends. Using PL-Seq, we identified genes that exhibit significant differences in CE splicing depending on connectivity to short versus long 3'UTRs. Genomic long 3'UTR deletion was found to alter upstream CE splicing in short 3'UTR isoforms and ELAV loss differentially affected CE splicing depending on connectivity to alternative 3'UTRs. This work highlights the importance of considering connectivity to alternative 3'UTRs when monitoring AS events.
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Affiliation(s)
- Zhiping Zhang
- Department of Biology, University of Nevada, Reno, Reno, NV, USA
- Department of Genetics and Genome Sciences, UConn Health, Farmington, CT, USA
| | - Bongmin Bae
- Department of Biology, University of Nevada, Reno, Reno, NV, USA
| | | | - Pedro Miura
- Department of Biology, University of Nevada, Reno, Reno, NV, USA
- Department of Genetics and Genome Sciences, UConn Health, Farmington, CT, USA
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24
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Tomaszkiewicz M, Sahlin K, Medvedev P, Makova KD. Transcript Isoform Diversity of Ampliconic Genes on the Y Chromosome of Great Apes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.02.530874. [PMID: 36993458 PMCID: PMC10054944 DOI: 10.1101/2023.03.02.530874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Y-chromosomal Ampliconic Genes (YAGs) are important for male fertility, as they encode proteins functioning in spermatogenesis. The variation in copy number and expression levels of these multicopy gene families has been recently studied in great apes, however, the diversity of splicing variants remains unexplored. Here we deciphered the sequences of polyadenylated transcripts of all nine YAG families (BPY2, CDY, DAZ, HSFY, PRY, RBMY, TSPY, VCY, and XKRY) from testis samples of six great ape species (human, chimpanzee, bonobo, gorilla, Bornean orangutan, and Sumatran orangutan). To achieve this, we enriched YAG transcripts with capture-probe hybridization and sequenced them with long (Pacific Biosciences) reads. Our analysis of this dataset resulted in several findings. First, we uncovered a high diversity of YAG transcripts across great apes. Second, we observed evolutionarily conserved alternative splicing patterns for most YAG families except for BPY2 and PRY. Our results suggest that BPY2 transcripts and predicted proteins in several great ape species (bonobo and the two orangutans) have independent evolutionary origins and are not homologous to human reference transcripts and proteins. In contrast, our results suggest that the PRY gene family, having the highest representation of transcripts without open reading frames, has been undergoing pseudogenization. Third, even though we have identified many species-specific protein-coding YAG transcripts, we have not detected any signatures of positive selection. Overall, our work illuminates the YAG isoform landscape and its evolutionary history, and provides a genomic resource for future functional studies focusing on infertility phenotypes in humans and critically endangered great apes.
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Affiliation(s)
- Marta Tomaszkiewicz
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, PA 16802, USA
| | - Kristoffer Sahlin
- Department of Mathematics, Science for Life Laboratory, Stockholm University, 106 91, Stockholm, Sweden
| | - Paul Medvedev
- Department of Computer Science and Engineering, The Pennsylvania State University
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802, USA
- Center for Medical Genomics, The Pennsylvania State University, University Park, PA 16802, USA
- Center for Computational Biology and Bioinformatics, The Pennsylvania State University, University Park, PA 16802, USA
| | - Kateryna D Makova
- Center for Medical Genomics, The Pennsylvania State University, University Park, PA 16802, USA
- Center for Computational Biology and Bioinformatics, The Pennsylvania State University, University Park, PA 16802, USA
- Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA
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25
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MacKenzie M, Argyropoulos C. An Introduction to Nanopore Sequencing: Past, Present, and Future Considerations. MICROMACHINES 2023; 14:459. [PMID: 36838159 PMCID: PMC9966803 DOI: 10.3390/mi14020459] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 02/12/2023] [Accepted: 02/14/2023] [Indexed: 06/18/2023]
Abstract
There has been significant progress made in the field of nanopore biosensor development and sequencing applications, which address previous limitations that restricted widespread nanopore use. These innovations, paired with the large-scale commercialization of biological nanopore sequencing by Oxford Nanopore Technologies, are making the platforms a mainstay in contemporary research laboratories. Equipped with the ability to provide long- and short read sequencing information, with quick turn-around times and simple sample preparation, nanopore sequencers are rapidly improving our understanding of unsolved genetic, transcriptomic, and epigenetic problems. However, there remain some key obstacles that have yet to be improved. In this review, we provide a general introduction to nanopore sequencing principles, discussing biological and solid-state nanopore developments, obstacles to single-base detection, and library preparation considerations. We present examples of important clinical applications to give perspective on the potential future of nanopore sequencing in the field of molecular diagnostics.
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Affiliation(s)
- Morgan MacKenzie
- Department of Internal Medicine, Division of Nephrology, School of Medicine, University of New Mexico, Albuquerque, NM 87131, USA
| | - Christos Argyropoulos
- Department of Internal Medicine, Division of Nephrology, School of Medicine, University of New Mexico, Albuquerque, NM 87131, USA
- Clinical & Translational Science Center, Department of Internal Medicine, Division of Nephrology, School of Medicine, University of New Mexico, Albuquerque, NM 87131, USA
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26
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Begik O, Diensthuber G, Liu H, Delgado-Tejedor A, Kontur C, Niazi AM, Valen E, Giraldez AJ, Beaudoin JD, Mattick JS, Novoa EM. Nano3P-seq: transcriptome-wide analysis of gene expression and tail dynamics using end-capture nanopore cDNA sequencing. Nat Methods 2023; 20:75-85. [PMID: 36536091 PMCID: PMC9834059 DOI: 10.1038/s41592-022-01714-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 11/03/2022] [Indexed: 12/24/2022]
Abstract
RNA polyadenylation plays a central role in RNA maturation, fate, and stability. In response to developmental cues, polyA tail lengths can vary, affecting the translation efficiency and stability of mRNAs. Here we develop Nanopore 3' end-capture sequencing (Nano3P-seq), a method that relies on nanopore cDNA sequencing to simultaneously quantify RNA abundance, tail composition, and tail length dynamics at per-read resolution. By employing a template-switching-based sequencing protocol, Nano3P-seq can sequence RNA molecule from its 3' end, regardless of its polyadenylation status, without the need for PCR amplification or ligation of RNA adapters. We demonstrate that Nano3P-seq provides quantitative estimates of RNA abundance and tail lengths, and captures a wide diversity of RNA biotypes. We find that, in addition to mRNA and long non-coding RNA, polyA tails can be identified in 16S mitochondrial ribosomal RNA in both mouse and zebrafish models. Moreover, we show that mRNA tail lengths are dynamically regulated during vertebrate embryogenesis at an isoform-specific level, correlating with mRNA decay. Finally, we demonstrate the ability of Nano3P-seq in capturing non-A bases within polyA tails of various lengths, and reveal their distribution during vertebrate embryogenesis. Overall, Nano3P-seq is a simple and robust method for accurately estimating transcript levels, tail lengths, and tail composition heterogeneity in individual reads, with minimal library preparation biases, both in the coding and non-coding transcriptome.
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Affiliation(s)
- Oguzhan Begik
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Gregor Diensthuber
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Huanle Liu
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Anna Delgado-Tejedor
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | | | - Adnan Muhammad Niazi
- Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
| | - Eivind Valen
- Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
- Sars International Centre for Marine Molecular Biology, University of Bergen, Bergen, Norway
| | | | - Jean-Denis Beaudoin
- Department of Genetics and Genome Sciences, Institute for Systems Genomics, University of Connecticut Health Center, Farmington, CT, USA
| | - John S Mattick
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Eva Maria Novoa
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.
- Universitat Pompeu Fabra, Barcelona, Spain.
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Castaldi PJ, Abood A, Farber CR, Sheynkman GM. Bridging the splicing gap in human genetics with long-read RNA sequencing: finding the protein isoform drivers of disease. Hum Mol Genet 2022; 31:R123-R136. [PMID: 35960994 PMCID: PMC9585682 DOI: 10.1093/hmg/ddac196] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/08/2022] [Accepted: 08/09/2022] [Indexed: 02/04/2023] Open
Abstract
Aberrant splicing underlies many human diseases, including cancer, cardiovascular diseases and neurological disorders. Genome-wide mapping of splicing quantitative trait loci (sQTLs) has shown that genetic regulation of alternative splicing is widespread. However, identification of the corresponding isoform or protein products associated with disease-associated sQTLs is challenging with short-read RNA-seq, which cannot precisely characterize full-length transcript isoforms. Furthermore, contemporary sQTL interpretation often relies on reference transcript annotations, which are incomplete. Solutions to these issues may be found through integration of newly emerging long-read sequencing technologies. Long-read sequencing offers the capability to sequence full-length mRNA transcripts and, in some cases, to link sQTLs to transcript isoforms containing disease-relevant protein alterations. Here, we provide an overview of sQTL mapping approaches, the use of long-read sequencing to characterize sQTL effects on isoforms, the linkage of RNA isoforms to protein-level functions and comment on future directions in the field. Based on recent progress, long-read RNA sequencing promises to be part of the human disease genetics toolkit to discover and treat protein isoforms causing rare and complex diseases.
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Affiliation(s)
- Peter J Castaldi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Division of General Medicine and Primary Care, Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Abdullah Abood
- Center for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Charles R Farber
- Center for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
- Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Gloria M Sheynkman
- Center for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
- Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA 22903, USA
- Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA 22903, USA
- UVA Comprehensive Cancer Center, University of Virginia, Charlottesville, VA 22903, USA
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Bayega A, Oikonomopoulos S, Wang YC, Ragoussis J. Improved Nanopore full-length cDNA sequencing by PCR-suppression. Front Genet 2022; 13:1031355. [PMID: 36324505 PMCID: PMC9618600 DOI: 10.3389/fgene.2022.1031355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 09/30/2022] [Indexed: 11/29/2022] Open
Abstract
Full-length transcript sequencing remains a main goal of RNA sequencing. However, even the application of long-read sequencing technologies such as Oxford Nanopore Technologies still fail to yield full-length transcript sequencing for a significant portion of sequenced reads. Since these technologies can sequence reads that are far longer than the longest known processed transcripts, the lack of efficiency to obtain full-length transcripts from good quality RNAs stems from library preparation inefficiency rather than the presence of degraded RNA molecules. It has previously been shown that addition of inverted terminal repeats in cDNA during reverse transcription followed by single-primer PCR creates a PCR suppression effect that prevents amplification of short molecules thus enriching the library for longer transcripts. We adapted this method for Nanopore cDNA library preparation and show that not only is PCR efficiency increased but gene body coverage is dramatically improved. The results show that implementation of this simple strategy will result in better quality full-length RNA sequencing data and make full-length transcript sequencing possible for most of sequenced reads.
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Affiliation(s)
- Anthony Bayega
- Department of Human Genetics, McGill University Genome Centre, McGill University, Montréal, QC, Canada
| | - Spyros Oikonomopoulos
- Department of Human Genetics, McGill University Genome Centre, McGill University, Montréal, QC, Canada
| | - Yu Chang Wang
- Department of Human Genetics, McGill University Genome Centre, McGill University, Montréal, QC, Canada
| | - Jiannis Ragoussis
- Department of Human Genetics, McGill University Genome Centre, McGill University, Montréal, QC, Canada
- Department of Bioengineering, McGill University, Montréal, QC, Canada
- *Correspondence: Jiannis Ragoussis,
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29
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Guan D, Halstead MM, Islas-Trejo AD, Goszczynski DE, Cheng HH, Ross PJ, Zhou H. Prediction of transcript isoforms in 19 chicken tissues by Oxford Nanopore long-read sequencing. Front Genet 2022; 13:997460. [PMID: 36246588 PMCID: PMC9561881 DOI: 10.3389/fgene.2022.997460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 08/30/2022] [Indexed: 11/22/2022] Open
Abstract
To identify and annotate transcript isoforms in the chicken genome, we generated Nanopore long-read sequencing data from 68 samples that encompassed 19 diverse tissues collected from experimental adult male and female White Leghorn chickens. More than 23.8 million reads with mean read length of 790 bases and average quality of 18.2 were generated. The annotation and subsequent filtering resulted in the identification of 55,382 transcripts at 40,547 loci with mean length of 1,700 bases. We predicted 30,967 coding transcripts at 19,461 loci, and 16,495 lncRNA transcripts at 15,512 loci. Compared to existing reference annotations, we found ∼52% of annotated transcripts could be partially or fully matched while ∼47% were novel. Seventy percent of novel transcripts were potentially transcribed from lncRNA loci. Based on our annotation, we quantified transcript expression across tissues and found two brain tissues (i.e., cerebellum and cortex) expressed the highest number of transcripts and loci. Furthermore, ∼22% of the transcripts displayed tissue specificity with the reproductive tissues (i.e., testis and ovary) exhibiting the most tissue-specific transcripts. Despite our wide sampling, ∼20% of Ensembl reference loci were not detected. This suggests that deeper sequencing and additional samples that include different breeds, cell types, developmental stages, and physiological conditions, are needed to fully annotate the chicken genome. The application of Nanopore sequencing in this study demonstrates the usefulness of long-read data in discovering additional novel loci (e.g., lncRNA loci) and resolving complex transcripts (e.g., the longest transcript for the TTN locus).
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Affiliation(s)
- Dailu Guan
- Department of Animal Science, University of California Davis, Davis, CA, United States
| | - Michelle M. Halstead
- Department of Animal Science, University of California Davis, Davis, CA, United States
| | - Alma D. Islas-Trejo
- Department of Animal Science, University of California Davis, Davis, CA, United States
| | - Daniel E. Goszczynski
- Department of Animal Science, University of California Davis, Davis, CA, United States
| | - Hans H. Cheng
- USDA, ARS, USNPRC, Avian Disease and Oncology Laboratory, East Lansing, MI, United States
| | - Pablo J. Ross
- Department of Animal Science, University of California Davis, Davis, CA, United States
- *Correspondence: Pablo J. Ross, ; Huaijun Zhou,
| | - Huaijun Zhou
- Department of Animal Science, University of California Davis, Davis, CA, United States
- *Correspondence: Pablo J. Ross, ; Huaijun Zhou,
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30
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Schönegger ES, Crisp A, Müller M, Fertl J, Serdjukow S, Croce S, Kollaschinski M, Carell T, Frischmuth T. Click Chemistry Enables Rapid Amplification of Full-Length Reverse Transcripts for Long-Read Third Generation Sequencing. Bioconjug Chem 2022; 33:1789-1795. [PMID: 36154005 DOI: 10.1021/acs.bioconjchem.2c00353] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Here we describe the development of a novel click chemistry-based method for the generation and amplification of full-length cDNA libraries from total RNA, while avoiding the need for problematic template-switching (TS) reactions. Compared with prior efforts, our method involves neither random priming nor stochastic cDNA termination, thus enabling amplification of transcripts that were previously inaccessible via related click chemistry-based RNA sequencing techniques. A key modification involving the use of PCR primers containing two overhanging 3'-nucleotides substantially improved the read-through compatibility of the 1,4-disubstituted 1,2,3-triazole-containing cDNA, where such modifications typically hinder amplification. This allowed us to more than double the possible insert size compared with the state-of-the art click chemistry-based technique, PAC-seq. Furthermore, our method performed on par with a commercially available PCR-cDNA RNA sequencing kit, as determined by Oxford Nanopore sequencing. Given the known advantages of PAC-seq, namely, suppression of PCR artifacts, we anticipate that our contribution could enable diverse applications including improved analyses of mRNA splicing variants and fusion transcripts.
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Affiliation(s)
- Eva S Schönegger
- Ludwig-Maximilians-Universität München, Institute for Chemical Epigenetics Munich, Butenandtstr. 5-13, 81377 Munich, Germany
| | - Antony Crisp
- baseclick GmbH, Floriansbogen 2-4, 82061 Neuried (Munich), Germany
| | - Markus Müller
- Ludwig-Maximilians-Universität München, Institute for Chemical Epigenetics Munich, Butenandtstr. 5-13, 81377 Munich, Germany
| | - Jessica Fertl
- baseclick GmbH, Floriansbogen 2-4, 82061 Neuried (Munich), Germany
| | - Sascha Serdjukow
- baseclick GmbH, Floriansbogen 2-4, 82061 Neuried (Munich), Germany
| | - Stefano Croce
- baseclick GmbH, Floriansbogen 2-4, 82061 Neuried (Munich), Germany
| | | | - Thomas Carell
- Ludwig-Maximilians-Universität München, Institute for Chemical Epigenetics Munich, Butenandtstr. 5-13, 81377 Munich, Germany
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31
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Learning and memory impairment and transcriptomic profile in hippocampus of offspring after maternal fructose exposure during gestation and lactation. Food Chem Toxicol 2022; 169:113394. [PMID: 36049592 DOI: 10.1016/j.fct.2022.113394] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 08/06/2022] [Accepted: 08/24/2022] [Indexed: 11/22/2022]
Abstract
Increased fructose intake is a global issue, especially in mothers. Maternal fructose exposure during gestation and lactation can affect learning and memory in offspring; however, the detailed mechanism is still unknown. The hippocampus is a mind locale liable for learning and memory. Here, we established a maternal high-fructose diet model by administering 13% and 40% fructose water, applied the Morris Water Maze test on postnatal day 60 offspring, and performed full-length RNA sequencing using the Oxford Nanopore Technologies platform to explore the changes in gene expression in the hippocampus. The results showed that learning and memory in offspring were negatively affected. Compared with the control group, 369 differentially expressed transcripts (DETs) were identified in the 13% fructose group, and 501 DETs were identified in the 40% fructose group. Gene Ontology enriched term and Kyoto Encyclopedia of Genes and Genomes enriched pathway analyses identified several terms and pathways related to brain development and cognitive function. Furthermore, we confirmed that the Wnt/β-catenin signaling pathway was down-regulated and neuron degeneration was enhanced. In summary, our results indicate that maternal fructose exposure during gestation and lactation can impair learning and memory in offspring and affect brain function at the transcriptome level.
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Reis AL, Hammond JH, Stevanovski I, Arnold JC, McGregor IS, Deveson IW, Gururajan A. Sex-specific transcriptomic and epitranscriptomic signatures of PTSD-like fear acquisition. iScience 2022; 25:104861. [PMID: 36039298 PMCID: PMC9418440 DOI: 10.1016/j.isci.2022.104861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 07/03/2022] [Accepted: 07/26/2022] [Indexed: 11/22/2022] Open
Abstract
Our understanding of the molecular pathology of posttraumatic stress disorder (PTSD) is evolving due to advances in sequencing technologies. With the recent emergence of Oxford Nanopore direct RNA-seq (dRNA-seq), it is now also possible to interrogate diverse RNA modifications, collectively known as the “epitranscriptome.”. Here, we present our analyses of the male and female mouse amygdala transcriptome and epitranscriptome, obtained using parallel Illumina RNA-seq and Oxford Nanopore dRNA-seq, associated with the acquisition of PTSD-like fear induced by Pavlovian cued-fear conditioning. We report significant sex-specific differences in the amygdala transcriptional response during fear acquisition and a range of shared and dimorphic epitranscriptomic signatures. Differential RNA modifications are enriched among mRNA transcripts associated with neurotransmitter regulation and mitochondrial function, many of which have been previously implicated in PTSD. Very few differentially modified transcripts are also differentially expressed, suggesting an influential, expression-independent role for epitranscriptional regulation in PTSD-like fear acquisition. PTSD-like trauma has sexually dimorphic effects on the amygdala transcriptome Most RNA modifications identified adhere to the known patterns associated with m6A There was enrichment of RNA modifications in neurological/PTSD-related genes There was little overlap between transcriptomic and epitranscriptomic signatures
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33
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Proteotranscriptomics - A facilitator in omics research. Comput Struct Biotechnol J 2022; 20:3667-3675. [PMID: 35891789 PMCID: PMC9293588 DOI: 10.1016/j.csbj.2022.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 07/04/2022] [Accepted: 07/04/2022] [Indexed: 11/26/2022] Open
Abstract
Applications in omics research, such as comparative transcriptomics and proteomics, require the knowledge of the species-specific gene sequence and benefit from a comprehensive high-quality annotation of the coding genes to achieve high coverage. While protein-coding genes can in simple cases be detected by scanning the genome for open reading frames, in more complex genomes exonic sequences are separated by introns. Despite advances in sequencing technologies that allow for ever-growing numbers of genomes, the quality of many of the provided genome assemblies do not reach reference quality. These non-contiguous assemblies with gaps and the necessity to predict splice sites limit accurate gene annotation from solely genomic data. In contrast, the transcriptome only contains transcribed gene regions, is devoid of introns and thus provides the optimal basis for the identification of open reading frames. The additional integration of proteomics data to validate predicted protein-coding genes further enriches for accurate gene models. This review outlines the principles of the proteotranscriptomics approach, discusses common challenges and suggests methods for improvement.
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34
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Ross CJ, Ulitsky I. Discovering functional motifs in long noncoding RNAs. WILEY INTERDISCIPLINARY REVIEWS. RNA 2022; 13:e1708. [PMID: 34981665 DOI: 10.1002/wrna.1708] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 11/19/2021] [Accepted: 12/04/2021] [Indexed: 12/27/2022]
Abstract
Long noncoding RNAs (lncRNAs) are products of pervasive transcription that closely resemble messenger RNAs on the molecular level, yet function through largely unknown modes of action. The current model is that the function of lncRNAs often relies on specific, typically short, conserved elements, connected by linkers in which specific sequences and/or structures are less important. This notion has fueled the development of both computational and experimental methods focused on the discovery of functional elements within lncRNA genes, based on diverse signals such as evolutionary conservation, predicted structural elements, or the ability to rescue loss-of-function phenotypes. In this review, we outline the main challenges that the different methods need to overcome, describe the recently developed approaches, and discuss their respective limitations. This article is categorized under: RNA Evolution and Genomics > Computational Analyses of RNA RNA Interactions with Proteins and Other Molecules > Protein-RNA Interactions: Functional Implications Regulatory RNAs/RNAi/Riboswitches > Regulatory RNAs.
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Affiliation(s)
- Caroline Jane Ross
- Biological Regulation and Molecular Neuroscience, Weizmann Institute of Science, Rehovot, Israel
| | - Igor Ulitsky
- Biological Regulation and Molecular Neuroscience, Weizmann Institute of Science, Rehovot, Israel
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35
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Rosenkranz RRE, Ullrich S, Löchli K, Simm S, Fragkostefanakis S. Relevance and Regulation of Alternative Splicing in Plant Heat Stress Response: Current Understanding and Future Directions. FRONTIERS IN PLANT SCIENCE 2022; 13:911277. [PMID: 35812973 PMCID: PMC9260394 DOI: 10.3389/fpls.2022.911277] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 05/26/2022] [Indexed: 05/26/2023]
Abstract
Alternative splicing (AS) is a major mechanism for gene expression in eukaryotes, increasing proteome diversity but also regulating transcriptome abundance. High temperatures have a strong impact on the splicing profile of many genes and therefore AS is considered as an integral part of heat stress response. While many studies have established a detailed description of the diversity of the RNAome under heat stress in different plant species and stress regimes, little is known on the underlying mechanisms that control this temperature-sensitive process. AS is mainly regulated by the activity of splicing regulators. Changes in the abundance of these proteins through transcription and AS, post-translational modifications and interactions with exonic and intronic cis-elements and core elements of the spliceosomes modulate the outcome of pre-mRNA splicing. As a major part of pre-mRNAs are spliced co-transcriptionally, the chromatin environment along with the RNA polymerase II elongation play a major role in the regulation of pre-mRNA splicing under heat stress conditions. Despite its importance, our understanding on the regulation of heat stress sensitive AS in plants is scarce. In this review, we summarize the current status of knowledge on the regulation of AS in plants under heat stress conditions. We discuss possible implications of different pathways based on results from non-plant systems to provide a perspective for researchers who aim to elucidate the molecular basis of AS under high temperatures.
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Affiliation(s)
| | - Sarah Ullrich
- Molecular Cell Biology of Plants, Goethe University Frankfurt, Frankfurt, Germany
| | - Karin Löchli
- Molecular Cell Biology of Plants, Goethe University Frankfurt, Frankfurt, Germany
| | - Stefan Simm
- Institute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany
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36
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Wongsurawat T, Jenjaroenpun P, Wanchai V, Nookaew I. Native RNA or cDNA Sequencing for Transcriptomic Analysis: A Case Study on Saccharomyces cerevisiae. Front Bioeng Biotechnol 2022; 10:842299. [PMID: 35497361 PMCID: PMC9039254 DOI: 10.3389/fbioe.2022.842299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 03/01/2022] [Indexed: 11/13/2022] Open
Abstract
Direct sequencing of single molecules through nanopores allows for accurate quantification and full-length characterization of native RNA or complementary DNA (cDNA) without amplification. Both nanopore-based native RNA and cDNA approaches involve complex transcriptome procedures at a lower cost. However, there are several differences between the two approaches. In this study, we perform matched native RNA sequencing and cDNA sequencing to enable relevant comparisons and evaluation. Using Saccharomyces cerevisiae, a eukaryotic model organism widely used in industrial biotechnology, two different growing conditions are considered for comparison, including the poly-A messenger RNA isolated from yeast cells grown in minimum media under respirofermentative conditions supplemented with glucose (glucose growth conditions) and from cells that had shifted to ethanol as a carbon source (ethanol growth conditions). Library preparation for direct RNA sequencing is shorter than that for direct cDNA sequencing. The sequence characteristics of the two methods were different, such as sequence yields, quality score of reads, read length distribution, and mapped on reference ability of reads. However, differential gene expression analyses derived from the two approaches are comparable. The unique feature of direct RNA sequencing is RNA modification; we found that the RNA modification at the 5' end of a transcript was underestimated due to the 3' bias behavior of the direct RNA sequencing. Our comprehensive evaluation from this work could help researchers make informed choices when selecting an appropriate long-read sequencing method for understanding gene functions, pathways, and detailed functional characterization.
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Affiliation(s)
- Thidathip Wongsurawat
- Division of Bioinformatics and Data Management for Research, Research Group and Research Network Division, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Piroon Jenjaroenpun
- Division of Bioinformatics and Data Management for Research, Research Group and Research Network Division, Research Department, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Visanu Wanchai
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Intawat Nookaew
- Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, United States
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37
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Thomas SM, Ackert-Bicknell CL, Zuscik MJ, Payne KA. Understanding the Transcriptomic Landscape to Drive New Innovations in Musculoskeletal Regenerative Medicine. Curr Osteoporos Rep 2022; 20:141-152. [PMID: 35156183 DOI: 10.1007/s11914-022-00726-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/18/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW RNA-sequencing (RNA-seq) is a novel and highly sought-after tool in the field of musculoskeletal regenerative medicine. The technology is being used to better understand pathological processes, as well as elucidate mechanisms governing development and regeneration. It has allowed in-depth characterization of stem cell populations and discovery of molecular mechanisms that regulate stem cell development, maintenance, and differentiation in a way that was not possible with previous technology. This review introduces RNA-seq technology and how it has paved the way for advances in musculoskeletal regenerative medicine. RECENT FINDINGS Recent studies in regenerative medicine have utilized RNA-seq to decipher mechanisms of pathophysiology and identify novel targets for regenerative medicine. The technology has also advanced stem cell biology through in-depth characterization of stem cells, identifying differentiation trajectories and optimizing cell culture conditions. It has also provided new knowledge that has led to improved growth factor use and scaffold design for musculoskeletal regenerative medicine. This article reviews recent studies utilizing RNA-seq in the field of musculoskeletal regenerative medicine. It demonstrates how transcriptomic analysis can be used to provide insights that can aid in formulating a regenerative strategy.
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Affiliation(s)
- Stacey M Thomas
- Colorado Program for Musculoskeletal Research, Department of Orthopedics, University of Colorado Anschutz Medical Campus, Mail Stop 8343, 12800 East 19th Avenue, Aurora, CO, 80045, USA
| | - Cheryl L Ackert-Bicknell
- Colorado Program for Musculoskeletal Research, Department of Orthopedics, University of Colorado Anschutz Medical Campus, Mail Stop 8343, 12800 East 19th Avenue, Aurora, CO, 80045, USA
| | - Michael J Zuscik
- Colorado Program for Musculoskeletal Research, Department of Orthopedics, University of Colorado Anschutz Medical Campus, Mail Stop 8343, 12800 East 19th Avenue, Aurora, CO, 80045, USA
| | - Karin A Payne
- Colorado Program for Musculoskeletal Research, Department of Orthopedics, University of Colorado Anschutz Medical Campus, Mail Stop 8343, 12800 East 19th Avenue, Aurora, CO, 80045, USA.
- Gates Center for Regenerative Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
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38
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Rossi R, Fang M, Zhu L, Jiang C, Yu C, Flesia C, Nie C, Li W, Ferlini A. Calculating and comparing codon usage values in rare disease genes highlights codon clustering with disease-and tissue- specific hierarchy. PLoS One 2022; 17:e0265469. [PMID: 35358230 PMCID: PMC8970475 DOI: 10.1371/journal.pone.0265469] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 03/02/2022] [Indexed: 11/19/2022] Open
Abstract
We designed a novel strategy to define codon usage bias (CUB) in 6 specific small cohorts of human genes. We calculated codon usage (CU) values in 29 non-disease-causing (NDC) and 31 disease-causing (DC) human genes which are highly expressed in 3 distinct tissues, kidney, muscle, and skin. We applied our strategy to the same selected genes annotated in 15 mammalian species. We obtained CUB hierarchical clusters for each gene cohort which showed tissue-specific and disease-specific CUB fingerprints. We showed that DC genes (especially those expressed in muscle) display a low CUB, well recognizable in codon hierarchical clustering. We defined the extremely biased codons as "zero codons" and found that their number is significantly higher in all DC genes, all tissues, and that this trend is conserved across mammals. Based on this calculation in different gene cohorts, we identified 5 codons which are more differentially used across genes and mammals, underlining that some genes have favorite synonymous codons in use. Since of the muscle genes clear clusters, and, among these, dystrophin gene surprisingly does not show any "zero codon" we adopted a novel approach to study CUB, we called "mapping-on-codons". We positioned 2828 dystrophin missense and nonsense pathogenic variations on their respective codon, highlighting that its frequency and occurrence is not dependent on the CU values. We conclude our strategy consents to identify a hierarchical clustering of CU values in a gene cohort-specific fingerprints, with recognizable trend across mammals. In DC muscle genes also a disease-related fingerprint can be observed, allowing discrimination between DC and NDC genes. We propose that using our strategy which studies CU in specific gene cohorts, as rare disease genes, and tissue specific genes, may provide novel information about the CUB role in human and medical genetics, with implications on synonymous variations interpretation and codon optimization algorithms.
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Affiliation(s)
- Rachele Rossi
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
- Dubowitz Neuromuscular Unit, Institute of Child Health, University College London, London, United Kingdom
| | | | - Lin Zhu
- BGI-Shenzhen, Shenzhen, China
- BGI College & Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | | | - Cong Yu
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
| | - Cristina Flesia
- Department of Earth and Environment Science, University of Milano-Bicocca, Milano, Italy
| | | | | | - Alessandra Ferlini
- Unit of Medical Genetics, Department of Medical Sciences, University of Ferrara, Ferrara, Italy
- Dubowitz Neuromuscular Unit, Institute of Child Health, University College London, London, United Kingdom
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39
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Hubert JN, Demars J. Genomic Imprinting in the New Omics Era: A Model for Systems-Level Approaches. Front Genet 2022; 13:838534. [PMID: 35368671 PMCID: PMC8965095 DOI: 10.3389/fgene.2022.838534] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 02/28/2022] [Indexed: 11/13/2022] Open
Abstract
Genomic imprinting represents a noteworthy inheritance mechanism leading to allele-specific regulations dependent of the parental origin. Imprinted loci are especially involved in essential mammalian functions related to growth, development and behavior. In this mini-review, we first offer a summary of current representations associated with genomic imprinting through key results of the three last decades. We then outline new perspectives allowed by the spread of new omics technologies tackling various interacting levels of imprinting regulations, including genomics, transcriptomics and epigenomics. We finally discuss the expected contribution of new omics data to unresolved big questions in the field.
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40
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Ferrer-Bonsoms JA, Morales X, Afshar PT, Wong WH, Rubio A. On the identifiability of the isoform deconvolution problem: application to select the proper fragment length in an RNA-seq library. Bioinformatics 2022; 38:1491-1496. [PMID: 34978563 PMCID: PMC8896638 DOI: 10.1093/bioinformatics/btab873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 11/12/2021] [Accepted: 12/30/2021] [Indexed: 02/03/2023] Open
Abstract
MOTIVATION Isoform deconvolution is an NP-hard problem. The accuracy of the proposed solutions is far from perfect. At present, it is not known if gene structure and isoform concentration can be uniquely inferred given paired-end reads, and there is no objective method to select the fragment length to improve the number of identifiable genes. Different pieces of evidence suggest that the optimal fragment length is gene-dependent, stressing the need for a method that selects the fragment length according to a reasonable trade-off across all the genes in the whole genome. RESULTS A gene is considered to be identifiable if it is possible to get both the structure and concentration of its transcripts univocally. Here, we present a method to state the identifiability of this deconvolution problem. Assuming a given transcriptome and that the coverage is sufficient to interrogate all junction reads of the transcripts, this method states whether or not a gene is identifiable given the read length and fragment length distribution. Applying this method using different read and fragment length combinations, the optimal average fragment length for the human transcriptome is around 400-600 nt for coding genes and 150-200 nt for long non-coding RNAs. The optimal read length is the largest one that fits in the fragment length. It is also discussed the potential profit of combining several libraries to reconstruct the transcriptome. Combining two libraries of very different fragment lengths results in a significant improvement in gene identifiability. AVAILABILITY AND IMPLEMENTATION Code is available in GitHub (https://github.com/JFerrer-B/transcriptome-identifiability). SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Juan A Ferrer-Bonsoms
- Department of Biomedical Engineering and Sciences, TECNUN, University of Navarra, Pamplona, Spain
| | - Xabier Morales
- Department of Biomedical Engineering and Sciences, TECNUN, University of Navarra, Pamplona, Spain
| | - Pegah T Afshar
- Department of Statistics, Stanford University, Stanford, CA 94305-4020, USA
| | - Wing H Wong
- Department of Statistics, Stanford University, Stanford, CA 94305-4020, USA
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41
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Hamid F, Alasoo K, Vilo J, Makeyev E. Functional Annotation of Custom Transcriptomes. Methods Mol Biol 2022; 2537:149-172. [PMID: 35895263 DOI: 10.1007/978-1-0716-2521-7_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Many eukaryotic genes can give rise to different alternative transcripts depending on stage of development, cell type, and physiological cues. Current transcriptome-wide sequencing technologies highlight the remarkable extent of this regulation in metazoans and allow for RNA isoforms to be profiled in increasingly small biological samples and with a growing confidence. Understanding biological functions of sample-specific transcripts is a major challenge in genomics and RNA processing fields. Here we describe simple bioinformatics workflows that facilitate this task by streamlining reference-guided annotation of novel transcripts. A key part of our protocol is the R package factR that rapidly matches custom-assembled transcripts to their likely host genes, deduces the sequence and domain structure of novel protein products, and predicts sensitivity of newly identified RNA isoforms to nonsense-mediated decay.
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Affiliation(s)
- Fursham Hamid
- Centre for Developmental Neurobiology, King's College London, London, UK.
| | - Kaur Alasoo
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Jaak Vilo
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Eugene Makeyev
- Centre for Developmental Neurobiology, King's College London, London, UK.
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42
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Wongsurawat T, Jenjaroenpun P, Nookaew I. Direct Sequencing of RNA and RNA Modification Identification Using Nanopore. Methods Mol Biol 2022; 2477:71-77. [PMID: 35524112 PMCID: PMC10619517 DOI: 10.1007/978-1-0716-2257-5_5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Direct RNA sequencing (dRNA-seq) simultaneously enables the detection of RNA modifications and characterization of full-length transcripts. In principle, full-length native RNA molecule is translocated through the nanopore by a motor protein while a sensor measures ionic current shifts. Then, the current shifts are interpreted by an algorithm that turn out to RNA sequence. Currently, the standard protocol of dRNA-seq provided by Oxford Nanopore Technologies (ONT) allows to directly ligate and sequence only polyadenylated RNA (poly(A) RNA). Here, we describe a method of dRNA-seq that can be applied for both poly(A) RNA and non-poly(A) tailed-RNA.
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Affiliation(s)
- Thidathip Wongsurawat
- Division of Bioinformatics and Data Management for Research, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
| | - Piroon Jenjaroenpun
- Division of Bioinformatics and Data Management for Research, Department of Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Intawat Nookaew
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
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43
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Zhang Z, Guo J, Cai X, Li Y, Xi X, Lin R, Liang J, Wang X, Wu J. Improved Reference Genome Annotation of Brassica rapa by Pacific Biosciences RNA Sequencing. FRONTIERS IN PLANT SCIENCE 2022; 13:841618. [PMID: 35371168 PMCID: PMC8968949 DOI: 10.3389/fpls.2022.841618] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 02/17/2022] [Indexed: 05/05/2023]
Abstract
The species Brassica rapa includes several important vegetable crops. The draft reference genome of B. rapa ssp. pekinensis was completed in 2011, and it has since been updated twice. The pangenome with structural variations of 18 B. rapa accessions was published in 2021. Although extensive genomic analysis has been conducted on B. rapa, a comprehensive genome annotation including gene structure, alternative splicing (AS) events, and non-coding genes is still lacking. Therefore, we used the Pacific Biosciences (PacBio) single-molecular long-read technology to improve gene models and produced the annotated genome version 3.5. In total, we obtained 753,041 full-length non-chimeric (FLNC) reads and collapsed these into 92,810 non-redundant consensus isoforms, capturing 48% of the genes annotated in the B. rapa reference genome annotation v3.1. Based on the isoform data, we identified 830 novel protein-coding genes that were missed in previous genome annotations, defined the untranslated regions (UTRs) of 20,340 annotated genes and corrected 886 wrongly spliced genes. We also identified 28,564 AS events and 1,480 long non-coding RNAs (lncRNAs). We produced a relatively complete and high-quality reference transcriptome for B. rapa that can facilitate further functional genomic research.
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44
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Athanasopoulou K, Boti MA, Adamopoulos PG, Skourou PC, Scorilas A. Third-Generation Sequencing: The Spearhead towards the Radical Transformation of Modern Genomics. Life (Basel) 2021; 12:life12010030. [PMID: 35054423 PMCID: PMC8780579 DOI: 10.3390/life12010030] [Citation(s) in RCA: 68] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 12/20/2021] [Accepted: 12/23/2021] [Indexed: 12/14/2022] Open
Abstract
Although next-generation sequencing (NGS) technology revolutionized sequencing, offering a tremendous sequencing capacity with groundbreaking depth and accuracy, it continues to demonstrate serious limitations. In the early 2010s, the introduction of a novel set of sequencing methodologies, presented by two platforms, Pacific Biosciences (PacBio) and Oxford Nanopore Sequencing (ONT), gave birth to third-generation sequencing (TGS). The innovative long-read technologies turn genome sequencing into an ease-of-handle procedure by greatly reducing the average time of library construction workflows and simplifying the process of de novo genome assembly due to the generation of long reads. Long sequencing reads produced by both TGS methodologies have already facilitated the decipherment of transcriptional profiling since they enable the identification of full-length transcripts without the need for assembly or the use of sophisticated bioinformatics tools. Long-read technologies have also provided new insights into the field of epitranscriptomics, by allowing the direct detection of RNA modifications on native RNA molecules. This review highlights the advantageous features of the newly introduced TGS technologies, discusses their limitations and provides an in-depth comparison regarding their scientific background and available protocols as well as their potential utility in research and clinical applications.
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45
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Bartalucci N, Romagnoli S, Vannucchi AM. A blood drop through the pore: nanopore sequencing in hematology. Trends Genet 2021; 38:572-586. [PMID: 34906378 DOI: 10.1016/j.tig.2021.11.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 11/09/2021] [Accepted: 11/15/2021] [Indexed: 10/19/2022]
Abstract
The development of new sequencing platforms, technologies, and bioinformatics tools in the past decade fostered key discoveries in human genomics. Among the most recent sequencing technologies, nanopore sequencing (NS) has caught the interest of researchers for its intriguing potential and flexibility. This up-to-date review highlights the recent application of NS in the hematology field, focusing on progress and challenges of the technological approaches employed for the identification of pathologic alterations. The molecular and analytic pipelines developed for the analysis of the whole-genome, target regions, and transcriptomics provide a proof of evidence of the unparalleled amount of information that could be retrieved by an innovative approach based on long-read sequencing.
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Affiliation(s)
- Niccolò Bartalucci
- CRIMM, Center of Research and Innovation of Myeloproliferative Neoplasms, Careggi University Hospital and Department of Experimental and Clinical Medicine, University of Florence, DENOTHE Excellence Center, Florence, Italy
| | - Simone Romagnoli
- CRIMM, Center of Research and Innovation of Myeloproliferative Neoplasms, Careggi University Hospital and Department of Experimental and Clinical Medicine, University of Florence, DENOTHE Excellence Center, Florence, Italy
| | - Alessandro Maria Vannucchi
- CRIMM, Center of Research and Innovation of Myeloproliferative Neoplasms, Careggi University Hospital and Department of Experimental and Clinical Medicine, University of Florence, DENOTHE Excellence Center, Florence, Italy.
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46
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Kuo MC, Liu SCH, Hsu YF, Wu RM. The role of noncoding RNAs in Parkinson's disease: biomarkers and associations with pathogenic pathways. J Biomed Sci 2021; 28:78. [PMID: 34794432 PMCID: PMC8603508 DOI: 10.1186/s12929-021-00775-x] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 11/04/2021] [Indexed: 02/08/2023] Open
Abstract
The discovery of various noncoding RNAs (ncRNAs) and their biological implications is a growing area in cell biology. Increasing evidence has revealed canonical and noncanonical functions of long and small ncRNAs, including microRNAs, long ncRNAs (lncRNAs), circular RNAs, PIWI-interacting RNAs, and tRNA-derived fragments. These ncRNAs have the ability to regulate gene expression and modify metabolic pathways. Thus, they may have important roles as diagnostic biomarkers or therapeutic targets in various diseases, including neurodegenerative disorders, especially Parkinson's disease. Recently, through diverse sequencing technologies and a wide variety of bioinformatic analytical tools, such as reverse transcriptase quantitative PCR, microarrays, next-generation sequencing and long-read sequencing, numerous ncRNAs have been shown to be associated with neurodegenerative disorders, including Parkinson's disease. In this review article, we will first introduce the biogenesis of different ncRNAs, including microRNAs, PIWI-interacting RNAs, circular RNAs, long noncoding RNAs, and tRNA-derived fragments. The pros and cons of the detection platforms of ncRNAs and the reproducibility of bioinformatic analytical tools will be discussed in the second part. Finally, the recent discovery of numerous PD-associated ncRNAs and their association with the diagnosis and pathophysiology of PD are reviewed, and microRNAs and long ncRNAs that are transported by exosomes in biofluids are particularly emphasized.
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Affiliation(s)
- Ming-Che Kuo
- Department of Medicine, Section of Neurology, Cancer Center, National Taiwan University Hospital, Taipei, Taiwan
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Sam Chi-Hao Liu
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ya-Fang Hsu
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ruey-Meei Wu
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan.
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47
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Aging, Bone Marrow and Next-Generation Sequencing (NGS): Recent Advances and Future Perspectives. Int J Mol Sci 2021; 22:ijms222212225. [PMID: 34830107 PMCID: PMC8620539 DOI: 10.3390/ijms222212225] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/07/2021] [Accepted: 11/09/2021] [Indexed: 12/28/2022] Open
Abstract
The aging of bone marrow (BM) remains a very imperative and alluring subject, with an ever-increasing interest among fellow scientists. A considerable amount of progress has been made in this field with the established ‘hallmarks of aging’ and continued efforts to investigate the age-related changes observed within the BM. Inflammaging is considered as a low-grade state of inflammation associated with aging, and whilst the possible mechanisms by which aging occurs are now largely understood, the processes leading to the underlying changes within aged BM remain elusive. The ability to identify these changes and detect such alterations at the genetic level are key to broadening the knowledgebase of aging BM. Next-generation sequencing (NGS) is an important molecular-level application presenting the ability to not only determine genomic base changes but provide transcriptional profiling (RNA-seq), as well as a high-throughput analysis of DNA–protein interactions (ChIP-seq). Utilising NGS to explore the genetic alterations occurring over the aging process within alterative cell types facilitates the comprehension of the molecular and cellular changes influencing the dynamics of aging BM. Thus, this review prospects the current landscape of BM aging and explores how NGS technology is currently being applied within this ever-expanding field of research.
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48
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Rahimi K, Færch Nielsen A, Venø MT, Kjems J. Nanopore long-read sequencing of circRNAs. Methods 2021; 196:23-29. [PMID: 34571139 DOI: 10.1016/j.ymeth.2021.09.010] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 09/15/2021] [Accepted: 09/22/2021] [Indexed: 12/30/2022] Open
Abstract
Circular RNA (circRNA) is a group of highly stable RNA molecules with suggested roles in development and disease. They derive from linear pre-mRNAs when a 5'-splice site splices back to an upstream 3'-splice site in a process termed back-splicing. Most circRNAs are multi-exonic and may contain several thousand nucleotides. The extensive sequence overlap between the linear and circular forms of an RNA means that circRNA identification depends on the detection of back-splice-junction sequence reads that are unique to the circRNA. However, the short-read length obtained using standard next-generation sequencing techniques means that the internal sequence, exon composition and alternative splicing of circRNAs are unknown in many cases. Recently, several labs, including ours, have reported protocols for sequencing of circRNAs using long-read nanopore sequencing and thereby expanded our understanding of circRNA size distribution and internal splicing patterns. Here, we review these protocols and discuss the different approaches taken to study the full length composition of circRNAs.
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Affiliation(s)
- Karim Rahimi
- Department of Molecular Biology and Genetics (MBG), Aarhus University, DK-8000 Aarhus, Denmark; Interdisciplinary Nanoscience Center (iNANO), Aarhus University, DK-8000 Aarhus, Denmark.
| | - Anne Færch Nielsen
- Interdisciplinary Nanoscience Center (iNANO), Aarhus University, DK-8000 Aarhus, Denmark; Center for Cellular signal Patterns (CellPAT), Aarhus University, DK-8000 Aarhus, Denmark
| | | | - Jørgen Kjems
- Department of Molecular Biology and Genetics (MBG), Aarhus University, DK-8000 Aarhus, Denmark; Interdisciplinary Nanoscience Center (iNANO), Aarhus University, DK-8000 Aarhus, Denmark; Center for Cellular signal Patterns (CellPAT), Aarhus University, DK-8000 Aarhus, Denmark.
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49
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Playfoot CJ, Duc J, Sheppard S, Dind S, Coudray A, Planet E, Trono D. Transposable elements and their KZFP controllers are drivers of transcriptional innovation in the developing human brain. Genome Res 2021; 31:1531-1545. [PMID: 34400477 PMCID: PMC8415367 DOI: 10.1101/gr.275133.120] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 07/15/2021] [Indexed: 11/25/2022]
Abstract
Transposable elements (TEs) account for more than 50% of the human genome and many have been co-opted throughout evolution to provide regulatory functions for gene expression networks. Several lines of evidence suggest that these networks are fine-tuned by the largest family of TE controllers, the KRAB-containing zinc finger proteins (KZFPs). One tissue permissive for TE transcriptional activation (termed "transposcription") is the adult human brain, however comprehensive studies on the extent of this process and its potential contribution to human brain development are lacking. To elucidate the spatiotemporal transposcriptome of the developing human brain, we have analyzed two independent RNA-seq data sets encompassing 16 brain regions from eight weeks postconception into adulthood. We reveal a distinct KZFP:TE transcriptional profile defining the late prenatal to early postnatal transition, and the spatiotemporal and cell type-specific activation of TE-derived alternative promoters driving the expression of neurogenesis-associated genes. Long-read sequencing confirmed these TE-driven isoforms as significant contributors to neurogenic transcripts. We also show experimentally that a co-opted antisense L2 element drives temporal protein relocalization away from the endoplasmic reticulum, suggestive of novel TE dependent protein function in primate evolution. This work highlights the widespread dynamic nature of the spatiotemporal KZFP:TE transcriptome and its importance throughout TE mediated genome innovation and neurotypical human brain development. To facilitate interactive exploration of these spatiotemporal gene and TE expression dynamics, we provide the "Brain TExplorer" web application freely accessible for the community.
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Affiliation(s)
- Christopher J Playfoot
- School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Julien Duc
- School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Shaoline Sheppard
- School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Sagane Dind
- School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Alexandre Coudray
- School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Evarist Planet
- School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
| | - Didier Trono
- School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
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50
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Ibrahim F, Oppelt J, Maragkakis M, Mourelatos Z. TERA-Seq: true end-to-end sequencing of native RNA molecules for transcriptome characterization. Nucleic Acids Res 2021; 49:e115. [PMID: 34428294 PMCID: PMC8599856 DOI: 10.1093/nar/gkab713] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 07/31/2021] [Accepted: 08/18/2021] [Indexed: 11/14/2022] Open
Abstract
Direct sequencing of single, native RNA molecules through nanopores has a strong potential to transform research in all aspects of RNA biology and clinical diagnostics. The existing platform from Oxford Nanopore Technologies is unable to sequence the very 5′ ends of RNAs and is limited to polyadenylated molecules. Here, we develop True End-to-end RNA Sequencing (TERA-Seq), a platform that addresses these limitations, permitting more thorough transcriptome characterization. TERA-Seq describes both poly- and non-polyadenylated RNA molecules and accurately identifies their native 5′ and 3′ ends by ligating uniquely designed adapters that are sequenced along with the transcript. We find that capped, full-length mRNAs in human cells show marked variation of poly(A) tail lengths at the single molecule level. We report prevalent capping downstream of canonical transcriptional start sites in otherwise fully spliced and polyadenylated molecules. We reveal RNA processing and decay at single molecule level and find that mRNAs decay cotranslationally, often from their 5′ ends, while frequently retaining poly(A) tails. TERA-Seq will prove useful in many applications where true end-to-end direct sequencing of single, native RNA molecules and their isoforms is desirable.
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Affiliation(s)
- Fadia Ibrahim
- Department of Pathology and Laboratory Medicine, Division of Neuropathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.,Department of Biochemistry and Molecular Biology, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Jan Oppelt
- Department of Pathology and Laboratory Medicine, Division of Neuropathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Manolis Maragkakis
- Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA
| | - Zissimos Mourelatos
- Department of Pathology and Laboratory Medicine, Division of Neuropathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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